2674c6b5e0
Fix GDAL image decoding color problems identified by issue #10089, by: (#10093) * Fix GDAL image decoding color problems identified by issue #10089, by: Fixing CV_8UC1 symbol, which should be CV_8UC3 for RGB GDAL color table images. Fixing image.ptr<VecX>(row,col)[] to be (*image.ptr<VecX>(row,col))[] to correctly access VecX array elements, as ptr<VecX>() returns a pointer to the VecX, not the first element of VecX. This fixes the color problem with color table gif images, and avoids out-of-bounds memory access. Respecting the color identification of raster bands provided by the GDAL image driver, and produce BGR or BGRA images. Note that color bands of images using the HSL, CMY, CMYK, or YCbCr color space are ignored, rather than converting them to BGR. * When reading image files using the GDAL decoder, exit with an error if a color band is encountered that isn't used (eg. from CMYK or YCbCbr), rather than silently ignoring the band's data.
572 lines
19 KiB
C++
572 lines
19 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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// GDAL Macros
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#include "cvconfig.h"
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#ifdef HAVE_GDAL
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// Our Header
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#include "grfmt_gdal.hpp"
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/// C++ Standard Libraries
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#include <iostream>
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#include <stdexcept>
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#include <string>
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namespace cv{
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/**
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* Convert GDAL Palette Interpretation to OpenCV Pixel Type
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*/
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int gdalPaletteInterpretation2OpenCV( GDALPaletteInterp const& paletteInterp, GDALDataType const& gdalType ){
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switch( paletteInterp ){
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/// GRAYSCALE
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case GPI_Gray:
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if( gdalType == GDT_Byte ){ return CV_8UC1; }
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if( gdalType == GDT_UInt16 ){ return CV_16UC1; }
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if( gdalType == GDT_Int16 ){ return CV_16SC1; }
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if( gdalType == GDT_UInt32 ){ return CV_32SC1; }
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if( gdalType == GDT_Int32 ){ return CV_32SC1; }
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if( gdalType == GDT_Float32 ){ return CV_32FC1; }
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if( gdalType == GDT_Float64 ){ return CV_64FC1; }
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return -1;
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/// RGB
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case GPI_RGB:
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if( gdalType == GDT_Byte ){ return CV_8UC3; }
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if( gdalType == GDT_UInt16 ){ return CV_16UC3; }
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if( gdalType == GDT_Int16 ){ return CV_16SC3; }
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if( gdalType == GDT_UInt32 ){ return CV_32SC3; }
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if( gdalType == GDT_Int32 ){ return CV_32SC3; }
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if( gdalType == GDT_Float32 ){ return CV_32FC3; }
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if( gdalType == GDT_Float64 ){ return CV_64FC3; }
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return -1;
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/// otherwise
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default:
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return -1;
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}
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}
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/**
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* Convert gdal type to opencv type
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*/
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int gdal2opencv( const GDALDataType& gdalType, const int& channels ){
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switch( gdalType ){
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/// UInt8
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case GDT_Byte:
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return CV_8UC(channels);
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/// UInt16
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case GDT_UInt16:
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return CV_16UC(channels);
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/// Int16
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case GDT_Int16:
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return CV_16SC(channels);
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/// UInt32
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case GDT_UInt32:
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case GDT_Int32:
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return CV_32SC(channels);
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case GDT_Float32:
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return CV_32FC(channels);
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case GDT_Float64:
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return CV_64FC(channels);
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default:
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std::cout << "Unknown GDAL Data Type" << std::endl;
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std::cout << "Type: " << GDALGetDataTypeName(gdalType) << std::endl;
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return -1;
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}
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}
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/**
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* GDAL Decoder Constructor
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*/
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GdalDecoder::GdalDecoder(){
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// set a dummy signature
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m_signature="0";
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for( size_t i=0; i<160; i++ ){
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m_signature += "0";
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}
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/// Register the driver
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GDALAllRegister();
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m_driver = NULL;
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m_dataset = NULL;
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}
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/**
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* GDAL Decoder Destructor
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*/
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GdalDecoder::~GdalDecoder(){
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if( m_dataset != NULL ){
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close();
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}
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}
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/**
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* Convert data range
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*/
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double range_cast( const GDALDataType& gdalType,
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const int& cvDepth,
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const double& value )
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{
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// uint8 -> uint8
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if( gdalType == GDT_Byte && cvDepth == CV_8U ){
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return value;
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}
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// uint8 -> uint16
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if( gdalType == GDT_Byte && (cvDepth == CV_16U || cvDepth == CV_16S)){
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return (value*256);
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}
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// uint8 -> uint32
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if( gdalType == GDT_Byte && (cvDepth == CV_32F || cvDepth == CV_32S)){
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return (value*16777216);
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}
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// int16 -> uint8
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if( (gdalType == GDT_UInt16 || gdalType == GDT_Int16) && cvDepth == CV_8U ){
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return std::floor(value/256.0);
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}
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// int16 -> int16
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if( (gdalType == GDT_UInt16 || gdalType == GDT_Int16) &&
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( cvDepth == CV_16U || cvDepth == CV_16S )){
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return value;
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}
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// float32 -> float32
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// float64 -> float64
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if( (gdalType == GDT_Float32 || gdalType == GDT_Float64) &&
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( cvDepth == CV_32F || cvDepth == CV_64F )){
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return value;
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}
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std::cout << GDALGetDataTypeName( gdalType ) << std::endl;
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std::cout << "warning: unknown range cast requested." << std::endl;
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return (value);
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}
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/**
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* There are some better mpl techniques for doing this.
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*/
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void write_pixel( const double& pixelValue,
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const GDALDataType& gdalType,
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const int& gdalChannels,
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Mat& image,
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const int& row,
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const int& col,
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const int& channel ){
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// convert the pixel
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double newValue = range_cast(gdalType, image.depth(), pixelValue );
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// input: 1 channel, output: 1 channel
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if( gdalChannels == 1 && image.channels() == 1 ){
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if( image.depth() == CV_8U ){ image.ptr<uchar>(row)[col] = newValue; }
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else if( image.depth() == CV_16U ){ image.ptr<unsigned short>(row)[col] = newValue; }
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else if( image.depth() == CV_16S ){ image.ptr<short>(row)[col] = newValue; }
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else if( image.depth() == CV_32S ){ image.ptr<int>(row)[col] = newValue; }
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else if( image.depth() == CV_32F ){ image.ptr<float>(row)[col] = newValue; }
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else if( image.depth() == CV_64F ){ image.ptr<double>(row)[col] = newValue; }
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else{ throw std::runtime_error("Unknown image depth, gdal: 1, img: 1"); }
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}
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// input: 1 channel, output: 3 channel
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else if( gdalChannels == 1 && image.channels() == 3 ){
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if( image.depth() == CV_8U ){ image.ptr<Vec3b>(row)[col] = Vec3b(newValue,newValue,newValue); }
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else if( image.depth() == CV_16U ){ image.ptr<Vec3s>(row)[col] = Vec3s(newValue,newValue,newValue); }
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else if( image.depth() == CV_16S ){ image.ptr<Vec3s>(row)[col] = Vec3s(newValue,newValue,newValue); }
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else if( image.depth() == CV_32S ){ image.ptr<Vec3i>(row)[col] = Vec3i(newValue,newValue,newValue); }
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else if( image.depth() == CV_32F ){ image.ptr<Vec3f>(row)[col] = Vec3f(newValue,newValue,newValue); }
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else if( image.depth() == CV_64F ){ image.ptr<Vec3d>(row)[col] = Vec3d(newValue,newValue,newValue); }
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else{ throw std::runtime_error("Unknown image depth, gdal:1, img: 3"); }
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}
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// input: 3 channel, output: 1 channel
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else if( gdalChannels == 3 && image.channels() == 1 ){
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if( image.depth() == CV_8U ){ image.ptr<uchar>(row)[col] += (newValue/3.0); }
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else{ throw std::runtime_error("Unknown image depth, gdal:3, img: 1"); }
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}
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// input: 4 channel, output: 1 channel
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else if( gdalChannels == 4 && image.channels() == 1 ){
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if( image.depth() == CV_8U ){ image.ptr<uchar>(row)[col] = newValue; }
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else{ throw std::runtime_error("Unknown image depth, gdal: 4, image: 1"); }
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}
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// input: 3 channel, output: 3 channel
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else if( gdalChannels == 3 && image.channels() == 3 ){
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if( image.depth() == CV_8U ){ (*image.ptr<Vec3b>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_16U ){ (*image.ptr<Vec3s>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_16S ){ (*image.ptr<Vec3s>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_32S ){ (*image.ptr<Vec3i>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_32F ){ (*image.ptr<Vec3f>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_64F ){ (*image.ptr<Vec3d>(row,col))[channel] = newValue; }
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else{ throw std::runtime_error("Unknown image depth, gdal: 3, image: 3"); }
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}
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// input: 4 channel, output: 3 channel
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else if( gdalChannels == 4 && image.channels() == 3 ){
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if( channel >= 4 ){ return; }
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else if( image.depth() == CV_8U && channel < 4 ){ (*image.ptr<Vec3b>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_16U && channel < 4 ){ (*image.ptr<Vec3s>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_16S && channel < 4 ){ (*image.ptr<Vec3s>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_32S && channel < 4 ){ (*image.ptr<Vec3i>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_32F && channel < 4 ){ (*image.ptr<Vec3f>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_64F && channel < 4 ){ (*image.ptr<Vec3d>(row,col))[channel] = newValue; }
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else{ throw std::runtime_error("Unknown image depth, gdal: 4, image: 3"); }
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}
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// input: 4 channel, output: 4 channel
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else if( gdalChannels == 4 && image.channels() == 4 ){
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if( image.depth() == CV_8U ){ (*image.ptr<Vec4b>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_16U ){ (*image.ptr<Vec4s>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_16S ){ (*image.ptr<Vec4s>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_32S ){ (*image.ptr<Vec4i>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_32F ){ (*image.ptr<Vec4f>(row,col))[channel] = newValue; }
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else if( image.depth() == CV_64F ){ (*image.ptr<Vec4d>(row,col))[channel] = newValue; }
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else{ throw std::runtime_error("Unknown image depth, gdal: 4, image: 4"); }
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}
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// input: > 4 channels, output: > 4 channels
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else if( gdalChannels > 4 && image.channels() > 4 ){
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if( image.depth() == CV_8U ){ image.ptr<uchar>(row,col)[channel] = newValue; }
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else if( image.depth() == CV_16U ){ image.ptr<unsigned short>(row,col)[channel] = newValue; }
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else if( image.depth() == CV_16S ){ image.ptr<short>(row,col)[channel] = newValue; }
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else if( image.depth() == CV_32S ){ image.ptr<int>(row,col)[channel] = newValue; }
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else if( image.depth() == CV_32F ){ image.ptr<float>(row,col)[channel] = newValue; }
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else if( image.depth() == CV_64F ){ image.ptr<double>(row,col)[channel] = newValue; }
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else{ throw std::runtime_error("Unknown image depth, gdal: N, img: N"); }
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}
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// otherwise, throw an error
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else{
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throw std::runtime_error("error: can't convert types.");
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}
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}
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void write_ctable_pixel( const double& pixelValue,
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const GDALDataType& gdalType,
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GDALColorTable const* gdalColorTable,
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Mat& image,
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const int& y,
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const int& x,
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const int& c ){
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if( gdalColorTable == NULL ){
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write_pixel( pixelValue, gdalType, 1, image, y, x, c );
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}
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// if we are Grayscale, then do a straight conversion
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if( gdalColorTable->GetPaletteInterpretation() == GPI_Gray ){
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write_pixel( pixelValue, gdalType, 1, image, y, x, c );
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}
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// if we are rgb, then convert here
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else if( gdalColorTable->GetPaletteInterpretation() == GPI_RGB ){
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// get the pixel
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short r = gdalColorTable->GetColorEntry( (int)pixelValue )->c1;
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short g = gdalColorTable->GetColorEntry( (int)pixelValue )->c2;
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short b = gdalColorTable->GetColorEntry( (int)pixelValue )->c3;
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short a = gdalColorTable->GetColorEntry( (int)pixelValue )->c4;
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write_pixel( r, gdalType, 4, image, y, x, 2 );
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write_pixel( g, gdalType, 4, image, y, x, 1 );
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write_pixel( b, gdalType, 4, image, y, x, 0 );
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if( image.channels() > 3 ){
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write_pixel( a, gdalType, 4, image, y, x, 1 );
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}
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}
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// otherwise, set zeros
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else{
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write_pixel( pixelValue, gdalType, 1, image, y, x, c );
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}
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}
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/**
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* read data
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*/
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bool GdalDecoder::readData( Mat& img ){
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// make sure the image is the proper size
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if( img.size() != Size(m_width, m_height) ){
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return false;
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}
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// make sure the raster is alive
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if( m_dataset == NULL || m_driver == NULL ){
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return false;
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}
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// set the image to zero
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img = 0;
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// iterate over each raster band
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// note that OpenCV does bgr rather than rgb
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int nChannels = m_dataset->GetRasterCount();
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GDALColorTable* gdalColorTable = NULL;
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if( m_dataset->GetRasterBand(1)->GetColorTable() != NULL ){
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gdalColorTable = m_dataset->GetRasterBand(1)->GetColorTable();
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}
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const GDALDataType gdalType = m_dataset->GetRasterBand(1)->GetRasterDataType();
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int nRows, nCols;
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if( nChannels > img.channels() ){
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nChannels = img.channels();
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}
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for( int c = 0; c<nChannels; c++ ){
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// get the GDAL Band
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GDALRasterBand* band = m_dataset->GetRasterBand(c+1);
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/* Map palette band and gray band to color index 0 and red, green,
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blue, alpha bands to BGRA indexes. Note: ignoring HSL, CMY,
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CMYK, and YCbCr color spaces, rather than converting them
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to BGR. */
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int color = 0;
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switch (band->GetColorInterpretation()) {
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case GCI_PaletteIndex:
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case GCI_GrayIndex:
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case GCI_BlueBand:
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color = 0;
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break;
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case GCI_GreenBand:
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color = 1;
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break;
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case GCI_RedBand:
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color = 2;
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break;
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case GCI_AlphaBand:
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color = 3;
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break;
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default:
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CV_ErrorNoReturn(cv::Error::StsError, "Invalid/unsupported mode");
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}
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// make sure the image band has the same dimensions as the image
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if( band->GetXSize() != m_width || band->GetYSize() != m_height ){ return false; }
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// grab the raster size
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nRows = band->GetYSize();
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nCols = band->GetXSize();
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// create a temporary scanline pointer to store data
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double* scanline = new double[nCols];
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// iterate over each row and column
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for( int y=0; y<nRows; y++ ){
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// get the entire row
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band->RasterIO( GF_Read, 0, y, nCols, 1, scanline, nCols, 1, GDT_Float64, 0, 0);
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// set inside the image
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for( int x=0; x<nCols; x++ ){
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// set depending on image types
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// given boost, I would use enable_if to speed up. Avoid for now.
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if( hasColorTable == false ){
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write_pixel( scanline[x], gdalType, nChannels, img, y, x, color );
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}
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else{
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write_ctable_pixel( scanline[x], gdalType, gdalColorTable, img, y, x, color );
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}
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}
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}
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// delete our temp pointer
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delete [] scanline;
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}
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return true;
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}
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/**
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* Read image header
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*/
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bool GdalDecoder::readHeader(){
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// load the dataset
|
|
m_dataset = (GDALDataset*) GDALOpen( m_filename.c_str(), GA_ReadOnly);
|
|
|
|
// if dataset is null, then there was a problem
|
|
if( m_dataset == NULL ){
|
|
return false;
|
|
}
|
|
|
|
// make sure we have pixel data inside the raster
|
|
if( m_dataset->GetRasterCount() <= 0 ){
|
|
return false;
|
|
}
|
|
|
|
//extract the driver infomation
|
|
m_driver = m_dataset->GetDriver();
|
|
|
|
// if the driver failed, then exit
|
|
if( m_driver == NULL ){
|
|
return false;
|
|
}
|
|
|
|
|
|
// get the image dimensions
|
|
m_width = m_dataset->GetRasterXSize();
|
|
m_height= m_dataset->GetRasterYSize();
|
|
|
|
// make sure we have at least one band/channel
|
|
if( m_dataset->GetRasterCount() <= 0 ){
|
|
return false;
|
|
}
|
|
|
|
// check if we have a color palette
|
|
int tempType;
|
|
if( m_dataset->GetRasterBand(1)->GetColorInterpretation() == GCI_PaletteIndex ){
|
|
|
|
// remember that we have a color palette
|
|
hasColorTable = true;
|
|
|
|
// if the color tables does not exist, then we failed
|
|
if( m_dataset->GetRasterBand(1)->GetColorTable() == NULL ){
|
|
return false;
|
|
}
|
|
|
|
// otherwise, get the pixeltype
|
|
else{
|
|
// convert the palette interpretation to opencv type
|
|
tempType = gdalPaletteInterpretation2OpenCV( m_dataset->GetRasterBand(1)->GetColorTable()->GetPaletteInterpretation(),
|
|
m_dataset->GetRasterBand(1)->GetRasterDataType() );
|
|
|
|
if( tempType == -1 ){
|
|
return false;
|
|
}
|
|
m_type = tempType;
|
|
}
|
|
|
|
}
|
|
|
|
// otherwise, we have standard channels
|
|
else{
|
|
|
|
// remember that we don't have a color table
|
|
hasColorTable = false;
|
|
|
|
// convert the datatype to opencv
|
|
tempType = gdal2opencv( m_dataset->GetRasterBand(1)->GetRasterDataType(), m_dataset->GetRasterCount() );
|
|
if( tempType == -1 ){
|
|
return false;
|
|
}
|
|
m_type = tempType;
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
/**
|
|
* Close the module
|
|
*/
|
|
void GdalDecoder::close(){
|
|
|
|
|
|
GDALClose((GDALDatasetH)m_dataset);
|
|
m_dataset = NULL;
|
|
m_driver = NULL;
|
|
}
|
|
|
|
/**
|
|
* Create a new decoder
|
|
*/
|
|
ImageDecoder GdalDecoder::newDecoder()const{
|
|
return makePtr<GdalDecoder>();
|
|
}
|
|
|
|
/**
|
|
* Test the file signature
|
|
*/
|
|
bool GdalDecoder::checkSignature( const String& signature )const{
|
|
|
|
// look for NITF
|
|
std::string str(signature);
|
|
if( str.substr(0,4).find("NITF") != std::string::npos ){
|
|
return true;
|
|
}
|
|
|
|
// look for DTED
|
|
if( str.size() > 144 && str.substr(140,4) == "DTED" ){
|
|
return true;
|
|
}
|
|
|
|
return false;
|
|
}
|
|
|
|
} /// End of cv Namespace
|
|
|
|
#endif /**< End of HAVE_GDAL Definition */
|