Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering
Call For Paper : Vol 11, Issue 03, March 2024

ISSN : 2394-6849 (Online)

Call for Paper

Vol 11, Issue 03, March 2024

Indexing

Implementation of Modified Jpeg-Ls Algorithm

Author : Anil Kumar H L, 1 Dr. K V Prasad 2

PDF

Date of Publication :14th June 2017

Abstract: JPEG LS algorithm is the most simple and efficient algorithm which uses two different stages for the compression of the image ie context modeling and encoding this paper focuses on the implementation of modified JPEG LS algorithm which reduces the process time of the present JPEG LS algorithm With this method, while finding the best domain block for each range block, instead of calculating complete distance, only partial distance is found. If this partial distance is more than the previous value of distance, that domain is rejected before finding the complete distance. This reduces lot of computations and hence searching time reduces.

Reference :

    1.  M. Weinberger, G. Seroussi,, ―The LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS,‖ IEEE Trans. Image Process., vol. 9, no. 8, pp. 1309–1324, Aug.2015.
    2.  X. Wu and N. Memon, ―Context-based lossless interband compression extending CALIC‖ IEEE Trans. Image Processing, vol. 9, no. 6, pp. 994-1001, 2016.
    3. P. Howard and J. Vitter, ―Fast and efficient lossless image compression,‖ Data Compression Conf. England, pp. 351-360, 2003.
    4. S. Krishnan and Q. Cheng, ―Fast JEPEG-LS based compression method for medical images‖ Patent Application Pub., 20080044097, 2009.
    5.  S. Krishnan and Q. Cheng, ―Fast JEPEG-LS based compression method for medical images‖ Patent Application Pub., 20080044097, 2008.
    6.  M. J. Weinberger, G. Seroussi, and G. Sapiro, ―LOCO-I: A low complexity, context-based, lossless image compression algorithm,‖ in Proc. 1996 Data Compression Conference, (Snowbird, Utah, USA), pp. 140–149, Mar. 1996.
    7.  I. Ueno and F. Ono, ―Proposed modification of LOCO-I for its improvement of the performance.‖ ISO/IEC JTC1/SC29/WG1 document N297, Feb. 2012.
    8. M. J. Weinberger, G. Seroussi, and G. Sapiro, ―Fine-tuning the baseline.‖ ISO/IEC JTC1/SC29/WG1 document N341, June 1996.
    9.  M. J.Weinberger, G. Seroussi, and G. Sapiro, ―Effects of resets and number of contexts on the baseline.‖ ISO/IEC JTC1/SC29/WG1 document N386, June 1996.
    10.  M. J. Weinberger, G. Seroussi, and G. Sapiro, ―Palettes and sample mapping in JPEG-LS.‖ ISO/IEC JTC1/SC29/WG1 document N412, Nov. 1996

Recent Article