@article{MAKHILLJEAS20072612757,
    title = {Progressive Error-Diffused BI-Level Image Compression Coding Using Bayes Theorem},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {2},
    number = {6},
    pages = {966-971},
    year = {2007},
    issn = {1816-949x},
    doi = {jeasci.2007.966.971},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2007.966.971},
    author = {P. Raviraj and},
    keywords = {Joint bi-level image expert group,Bayes theorem,probability estimator,lossless compression},
    abstract = {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.}
    }