Title :
A new binary source coder and its application in bi-level image compression
Author :
Nguyen-Phi, Khanh ; Weinrichter, Hans
Author_Institution :
Dept. of Telecommun., Wien Univ., Austria
Abstract :
We present a new binary source coder. The new coder is a combination of many truncated-run-length coders governed by an adaptive probability estimation process. The estimation process can be implemented effectively as a finite-state machine. We apply the new coder to lossless bi-level image compression and compare the results with state-of-the-art methods. The results indicate that the new coder is comparable to current ones. The proposed coder is very simple for hardware and software implementation
Keywords :
adaptive estimation; data compression; finite state machines; image coding; probability; runlength codes; source coding; adaptive probability estimation; binary source coder; finite-state machine; hardware implementation; lossless bilevel image compression; software implementation; truncated run length coders; Arithmetic; Context modeling; Counting circuits; Decoding; Entropy; Hardware; Image coding; Software performance; Testing;
Conference_Titel :
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Conference_Location :
London
Print_ISBN :
0-7803-3336-5
DOI :
10.1109/GLOCOM.1996.591888
