Title :
The scan sequence of image compression and its optimization
Author_Institution :
Huizhou Univ., Guangdong, China
Abstract :
This paper builds a probability estimating model of image compression ratio in different scan sequences. The experiments show that the probable compression ratio can be used to estimate the real compression ratio. An algorithm to search an optimal sequence automatically from a given quantization matrix has been found. Using this algorithm we obtain a result that the optimal sequence of Y-matrix is just the scan sequence ZIG-ZAG
Keywords :
data compression; image coding; image sequences; optimisation; probability; Y-matrix; ZIG-ZAG scan sequence; algorithm; compression ratio; image compression; optimal sequence; optimization; probability estimating model; quantization matrix; scan sequences; Algorithm design and analysis; Entropy; Image analysis; Image coding; Image quality; Image sequence analysis; Quantization; Shape;
Conference_Titel :
Communication Technology Proceedings, 1996. ICCT'96., 1996 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2916-3
DOI :
10.1109/ICCT.1996.544974
