Title :
Experiments in adaptive predictive coding
Author :
Li, Xiaobo ; Nehru, Vikas
Author_Institution :
Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
Abstract :
This paper reports experiments in image compression using adaptive sampling and predictive coding. A picture usually comprises of areas of varying detail. The authors first detect these areas, and then sample key points from them. An area with greater detail requires many sample points to suitably represent it, whereas regions with lesser detail can be represented with fewer points. These key sample points are then used to predict the remainder of the image. Combining the use of adaptive sampling with predictive encoding, the authors´ algorithm manages to achieve compression while maintaining the desired image quality. Its performance is compared to JPEG in terms of compression ratio and image quality
Keywords :
data compression; encoding; image coding; image segmentation; prediction theory; JPEG; adaptive predictive coding; adaptive sampling; compression ratio; image compression; image quality; Image coding; Image quality; Image sampling; Image segmentation; Iterative algorithms; Pixel; Predictive coding; Quantization; Tail; Wavelet transforms;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538333