Paper Info
Title
Fast Adaptive Encoder for Bi-Level Images
Abstract
Abstract: We present a new bi-level image compression coder that does not use arithmetic encoding, but whose performance is close to that of state-of-the-art coders such as JBIG, JBIG-2, and JB2. The proposed bi-level coder (BLC) uses two simple adaptation rules: the first to compute context-dependent probability estimates that control a pixel prediction module, and the second to adjust a run-length parameter in a Run-Length-Rice (RLR) coder. That's contrary to the usual approach where the context-dependent probability estimate controls both pixel prediction and adaptive entropy coding. Due to its simplicity, in many applications BLC may be a better choice than JBIG or JBIG-2.
Year
DOI
Venue
2001
10.1109/DCC.2001.917156
Data Compression Conference
Keywords
Field
DocType
new bi-level image compression,context-dependent probability estimate,arithmetic encoding,bi-level images,adaptive entropy coding,applications blc,pixel prediction module,better choice,fast adaptive encoder,pixel prediction,proposed bi-level coder,run-length parameter,image compression,adaptive control,arithmetic,pixel,statistics,pattern matching,context dependent,data compression,entropy coding,probability,scanning probe microscopy
Computer vision,Entropy encoding,Dictionary coder,Computer science,Theoretical computer science,Artificial intelligence,Encoder,Adaptive control,JBIG,Data compression,Image compression,Arithmetic coding
Conference
ISSN
Citations 
PageRank 
1068-0314
11
1.51
References 
Authors
8
1
Name
Order
Citations
PageRank
Henrique Malvar1690105.66