The International Conference on Information Technology: Coding and Computing (ITCC'00) How Do Image Statistics Impact Lossy Coding Performance? Las Vegas, Nevada March 27-March 29 ISBN: 0-7695-0540-6
It has been observed that when we compress a variety of images of different types using a fixed wavelet filter, the peak signal-to-noise ratio (PSNR) values vary widely from image to image. This large variation in PSNR by as much as 30 dB can only be attributed to the nature and inherent characteristics of the image, since everything else is fixed. In this paper, we analyze the set of test images to determine the statistics in the images that may cause the coding performance variations. It is shown that most of the gray-level image statistics do not have any direct effect on the coding performance, and image activity measure is the only feature that has a correlation with the PSNR value.
Index Terms:
Image Statistics, Image Activity Measures, Image Coding, Wavelets, Filter banks
Citation:
Subhasis Saha, Rao Vemuri, "How Do Image Statistics Impact Lossy Coding Performance?," itcc, pp.42, The International Conference on Information Technology: Coding and Computing (ITCC'00), 2000 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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