Ideal cross-point regions of prediction errors from LOCO-I algorithm applied to lossless image compression

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper proposes the scheme of ICRICLI (Ideal Cross-point Regions for lossless Image Compression on multiple bit planes with Low complexity lossless compression for Images) that uses cross-point regions with LOCO-I algorithm for optimizing the processing of coding. The scheme ICRICLI is developed from the combination of the improved CRICM (Cross-point Regions for lossless Image Compression on Multiple bit planes) and LOCO-I, it is an algorithm for losslessly encoding and decoding images by optimizing the probability of data bits of the matrix of prediction error in cross-point regions on different bit planes. This scheme can be seen as a proposition of improvement of the standard predictive template of JPEG-LS for losslessly compressing images.

Cite

CITATION STYLE

APA

Dang, T. T., & Huynh, C. X. (2015). Ideal cross-point regions of prediction errors from LOCO-I algorithm applied to lossless image compression. In IFMBE Proceedings (Vol. 46, pp. 426–429). Springer Verlag. https://doi.org/10.1007/978-3-319-11776-8_104

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free