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提出了一种基于优化截取内嵌码块编码(EBCOT)的感兴趣区域(ROI)编码干涉多光谱图像压缩方法。小波变换后,对1级分解的高频系数感兴趣区域即包含光谱信息区域进行垂直方向的分解,再对感兴趣区域进行比特平面提升。T1编码器对不同比特平面的编码过程(Coding pass)赋予不同的重要性权值,由高到低依次编码,T2编码器根据所得的比特率自适应地反馈控制T1的编码深度,最后进行率失真优化截取。实验结果表明,该方法提高了恢复图像质量,有效地减少了优化截取内嵌码块编码算法的计算量和内存使用量(bpp=1时,测试图像的整体、感兴趣区域和背景区域平均峰值信噪比均提高0.1dB以上,计算量和内存使用量平均减少40%和60%以上),编码方式适合干涉多光谱图像压缩系统硬件实现。
A ROI-based coded interference multi-spectral image compression method based on optimized intercept code block coding (EBCOT) is proposed. After wavelet transform, the regions of interest of the high-frequency coefficients decomposed by level 1, that is, the region containing the spectral information, are vertically decomposed, and then the bit plane of the region of interest is boosted. The T1 encoder imposes different importance weights on the encoding pass of different bit planes, and encodes them in order from high to low. The T2 encoder adaptively feeds back and controls the encoding depth of T1 according to the obtained bitrate, and the final execution rate Distortion optimization interception. The experimental results show that this method can improve the quality of the recovered image and reduce the computational complexity and memory usage of the optimized intercepted block coding algorithm (bpp = 1, the whole image of the test image, the average peak value of the region of interest and background area Signal to noise ratio are increased by more than 0.1dB, the amount of computation and memory usage reduced by 40% and 60% on average), the encoding method is suitable for interference multi-spectral image compression system hardware implementation.