DocumentCode :
1214334
Title :
YIQ vector quantization in a new color palette architecture
Author :
Wu, Xiaolin
Author_Institution :
Dept. of Comput. Sci., Univ. of Western Ontario, London, Ont., Canada
Volume :
5
Issue :
2
fYear :
1996
fDate :
2/1/1996 12:00:00 AM
Firstpage :
321
Lastpage :
329
Abstract :
Many CRT displays use color palettes to save highspeed frame buffer memory and to support many interactive, real-time graphics and imaging operations. Existing quantization algorithms for color palettes cluster colors as 3-D vectors in a color space. Thus, they fail to remove the statistical redundancy in the image space. This weakness prevents a more efficient use of frame buffer capacity. We propose a simple product vector quantization (VQ) technique for frame buffers that exploits redundancies in both image and color spaces. The new VQ technique can reduce the frame buffer use of a color image by half from the current algorithms with comparable image quality. The NTSC YIQ rather than RGB color space is used in our product VQ scheme. Consequently, we propose to modify the current architecture of the color palette to suit the proposed product VQ algorithm in the YIQ mode. The modified color palette is nearly ten times smaller than the current RGB palette and is more flexible. The improved space efficiency in both frame buffer and color palette is achieved while neither complicating the control or logic of the frame buffer architecture nor increasing computational complexity of color quantization
Keywords :
buffer storage; cathode-ray tube displays; cathode-ray tubes; display instrumentation; image coding; vector quantisation; CRT displays; NTSC YIQ colour space; YIQ vector quantization; color image; color palette architecture; color quantization; frame buffer capacity; image quality; image space; imaging operations; interactive real-time graphics; product VQ algorithm; product vector quantization; quantization algorithms; space efficiency; statistical redundancy; Cathode ray tubes; Clustering algorithms; Color; Computational complexity; Computer architecture; Displays; Graphics; Image quality; Logic; Vector quantization;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.480767
Filename :
480767
Link To Document :
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