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High-Quality Image Compression for Gastrointestinal Endoscope

机译:胃肠内窥镜的高质量图像压缩

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This paper proposes an efficient framework of high-quality image compression method for upper Gastrointestinal tract endoscopy images. The proposed DEWC coding method saves traditional image preprocessing computations, such as demosaicking and color-space transformation, and directly utilizes raw image data acquired from CMOS sensor. R, G and B band image are then separately encoded by wavelet-based SPECK coding. In a cardinal GI tract environment, the spatial frequency distribution of red component is lower than green or blue, and green component is relatively high while compared to blue and red components. DEWC coding saves more bits on red band while allocating more bits on green and blue bands. Therefore, under a fixed compression ratio, such non-uniform bit-rate allocation may earn a better image quality. To measure quality-loss in non-uniform bit-rate allocation, a quality quantified measurement called color-distortion based on CIE94 color-difference formula is also proposed. By using analytical result of color-distortion in bit-rate and bit-rate-difference analysis, an optimal/suboptimal bit-rate allocation scheme can be found by solving linear equations derived from the relationship of color-distortion and bit-rate-difference. When comparing to general JPEG2000 compression standard, the experimental result shows that proposed DEWC coding has a better image quality in color-distortion measurement and more efficient performance in execution time.
机译:本文提出了高质量的图像压缩方法的上消化道内窥镜检查的图像的有效的框架。所提出的编码DEWC方法保存传统图像预处理计算,诸如去马赛克和色空间变换,并直接利用来自CMOS传感器获得的原始图像数据。 R,G和B频带图像,然后分别由基于小波SPECK编码编码。在一个基数GI道环境中,红色分量的空间频率分布比绿色或蓝色更低,并且同时相对于蓝色和红色成分绿色成分是比较高的。 DEWC编码而分配的绿色和蓝色波段更多的比特节省了红带更多的比特。因此,一个固定的压缩比下,例如非均匀的比特率分配可以赚取更好的图像质量。为了测量非均匀比特率分配质量损失,基于CIE94色差公式质量量化测量称为颜色畸变还提出。通过使用在比特率和比特率差分析,色彩失真的分析结果的最佳/次优的比特率分配方案可以通过求解从颜色失真和比特率的差异的关系导出的线性方程组来找到。当比较于一般JPEG2000压缩标准,即提出DEWC编码的实验结果示出了在色彩失真测量更好的图像质量和更高效的性能在执行时间。

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