Fundamentals of digital image processing
Fundamentals of digital image processing
Adaptive piecewise linear bits estimation model for MPEG based video coding
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
IEEE Transactions on Image Processing
A multi-segment image coding and transmission scheme
Signal Processing
Compression quality prediction model for JPEG2000
IEEE Transactions on Image Processing
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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.