Adaptive Weighted Neighbors Lossless Image Coding

被引:0
作者
Kabani, AbdulWahab [1 ]
El-Sakka, Mahmoud R. [1 ]
机构
[1] Univ Western Ontario, Dept Comp Sci, London, ON, Canada
来源
IMAGE ANALYSIS AND RECOGNITION (ICIAR 2015) | 2015年 / 9164卷
关键词
Image compression; Lossless compression; Context modeling; Adaptive prediction; Entropy coding; DATA-COMPRESSION; ALGORITHM;
D O I
10.1007/978-3-319-20801-5_14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Adaptive Weighted Neighbors Lossless Image Coding AWN is a symmetric lossless image compression algorithm. AWN makes two initial predictions, creates a weighted combination of the initial predictions before adjusting the prediction to end up with the final prediction. In order to achieve more compression, we encode the error in multiple bins depending on the expected error magnitude. Also, instead of encoding the signed error, the algorithm attempts to guess the sign and encodes the error magnitude and whether guessing the sign was successful or not.
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页码:129 / 138
页数:10
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