TY  - JOUR
T1  - Progressive Error-Diffused BI-Level Image Compression Coding Using Bayes Theorem
AU - , P. Raviraj AU - , M.Y. Sanavullah 
JO  - Journal of Engineering and Applied Sciences
VL  - 2
IS  - 6
SP  - 966
EP  - 971
PY  - 2007
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2007.966.971
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2007.966.971
KW  - Joint bi-level image expert group
KW  -Bayes theorem
KW  -probability estimator
KW  -lossless compression
AB  - This study proposes a new methodology for Error diffused bi-level image compression algorithm. The existing JBIG shows relatively low performance in compressing error-diffused bi-level images. The new method suggests Bayes theorem for showing high performance in error diffused bi-level image compression. By doing so we can improve the resolution and compression factor of the error diffused bi-level images. This method is quite fruitful when we use error diffused bi-level images in the file.
ER  -