Paper Info
Title
Adaptive Weighted Neighbors Lossless Image Coding
Abstract
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.
Year
DOI
Venue
2015
10.1007/978-3-319-20801-5_14
IMAGE ANALYSIS AND RECOGNITION (ICIAR 2015)
Keywords
Field
DocType
Image compression, Lossless compression, Context modeling, Adaptive prediction, Entropy coding
Lossless JPEG,ENCODE,Entropy encoding,Pattern recognition,Computer science,Context model,Artificial intelligence,Data compression,Image compression,Encoding (memory),Lossless compression
Conference
Volume
ISSN
Citations 
9164
0302-9743
0
PageRank 
References 
Authors
0.34
5
2
Name
Order
Citations
PageRank
AbdulWahab Kabani121.38
Mahmoud R. El-Sakka28114.17