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A New DCT Image Compression Algorithm Using Block Visual Activities
被引：1
作者：
SHABAN Osama
机构：
[1] Beijing 100083 China
[2] School of Computer Science and Engineering Beijing University of Aeronautics and Astronautics
关键词：
image compression;
DCT;
visual activity;
histogram classification;
D O I：
10.19583/j.1003-4951.2006.02.013
中图分类号：
TP391.41 [];
学科分类号：
080203 ;
摘要：
A new image compression algorithm is proposed based on local visual activity classification and the investigation of the histograms of the small non-overlapping blocks of the differential and angle image. Histograms of the differential blocks are classified according to their visual activities as Unimodal, Bimodal and Multimodal blocks. According to the histogram shape of the differential block and the mean angle of the same block an optimized quantization table with special coding is applied by taking the advantages of the local visual activities within the block. A considerable compression ratio and visual output improvement compared with the DCT compression algorithm are gained.
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页码：78 / 82
页数：5
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