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首页> 外文会议>Conference on Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts Ⅵ Jan 23-26, 2001, San Jose, USA >Spectral image compression for data communications
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Spectral image compression for data communications

机译：用于数据通信的光谱图像压缩

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摘要

We present a technique for spectral image compression to be used in the field of data communications. The spectral domain of the images is represented by a low-dimensional component image set, which is use to obtain an efficient compression of the high-dimensional spectral data. The component images are compressed using a similar technique as the JPEG- and MPEG-type compressions use to subsample the chrominance channels. The spectral compression is based on Principal Component Analysis (PCA) combined with color image transmission coding technique of "chromatic channel subsampling" of the component images. The component images are subsampled using 4:2:2. 1:2:0, and 4:l:l-based compressions. In addition, we extended the test for larger block sizes and larger number of component images than in the original JPEG- and MPEG-standards. Totally 50 natural spectral images were used as test material in our experiments. Several error measures of the compression are reported. The same compressions are done using Independent Component Analysis (ICA) and the results are compared with PCA. These methods give a good compression ratio while keeping visual quality of color still good. Quantitative comparisons between the original and reconstruted spectral images are presented.
机译：我们提出了一种在数据通信领域中使用的频谱图像压缩技术。图像的光谱域由低维分量图像集表示，该图像集用于获得高维光谱数据的有效压缩。使用与JPEG和MPEG类型压缩类似的技术压缩分量图像，该技术用于对色度通道进行二次采样。频谱压缩是基于主成分分析（PCA）与成分图像的“色通道二次采样”的彩色图像传输编码技术相结合的。使用4：2：2对分量图像进行二次采样。基于1：2：0和4：1：1的压缩。此外，与原始的JPEG和MPEG标准相比，我们扩大了对更大块尺寸和更大分量图像数量的测试范围。在我们的实验中，总共使用了50张自然光谱图像作为测试材料。报告了压缩的几种错误度量。使用独立分量分析（ICA）进行相同的压缩，并将结果与​​PCA进行比较。这些方法可提供良好的压缩率，同时保持色彩的视觉质量仍然良好。给出了原始光谱图像和重构光谱图像之间的定量比较。

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