DocumentCode
301735
Title
Experiments in adaptive predictive coding
Author
Li, Xiaobo ; Nehru, Vikas
Author_Institution
Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
Volume
4
fYear
1995
fDate
22-25 Oct 1995
Firstpage
3525
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICSMC.1995.538333
Filename
538333
Link To Document