Lossless Image Coding Based on Probability Modeling Using Template Matching and Linear Prediction-Reference-Cited by-同舟云学术

Lossless Image Coding Based on Probability Modeling Using Template Matching and Linear Prediction

Published:2017 Issue:11 Volume:E100.A Page:2351-2354
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

SUMI Toru¹,INAMURA Yuta¹,KAMEDA Yusuke¹,ISHIKAWA Tomokazu¹,MATSUDA Ichiro¹,ITOH Susumu¹

Affiliation:

1. Tokyo University of Science

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E100.A/11/E100.A_2351/_pdf

Reference11 articles.

1. [1] B. Meyer and P. Tischer, “TMW-a new method for lossless image compression,” Proc. International Picture Coding Symposium (PCS-97), pp.533-538, Sept. 1997.

2. [2] B. Meyer and P. Tischer, “Glicbawls-grey level image compression by adaptive weighted least squares,” Proc. 2001 Data Compression Conf. (DCC 2001), p.503, March 2001.

3. [3] M. Schindler, “A fast renormalisation for arithmetic coding,” Proc. Data Compression Conf. (DCC '98), p.572, 1998. 10.1109/dcc.1998.672314

4. [4] N. Nakajima, Y. Kameda, I. Matsuda, and S. Itoh, “Example-based context-adaptive probability modeling for lossless image coding,” Proc. International Workshop on Smart Info-Media Systems in Asia (SISA 2014), SS2-02, pp.95-98, Oct. 2014.

5. [5] T. Sumi, Y. Inamura, Y. Kameda, I. Matsuda, and S. Itoh, “Lossless image coding based on probability modeling via template matching and prediction,” Proc. International Workshop on Smart Info-Media Systems in Asia (SISA 2016), SS3-3, pp.183-185, Sept. 2016.