Hierarchical lossless color image coding method using cellular neural networks based predictors-Reference-Cited by-同舟云学术

Hierarchical lossless color image coding method using cellular neural networks based predictors

Published:2024 Issue:1 Volume:15 Page:119-131
ISSN:2185-4106
Container-title:Nonlinear Theory and Its Applications, IEICE
language:en
Short-container-title:NOLTA

Author:

Toda Hideharu¹^ORCID,Tajima Shuichi¹^ORCID,Nakashima Kazuki¹^ORCID,Otake Tsuyoshi²^ORCID,Aomori Hisashi¹^ORCID

Affiliation:

1. Faculty of Engineering, Chukyo University

2. College of Engineering, Tamagawa University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Link

https://www.jstage.jst.go.jp/article/nolta/15/1/15_119/_pdf

Reference23 articles.

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2. [2] L.O. Chua and L. Yang, “Cellular Neural Networks: Theory,” IEEE Trans. on Circuits and Systems, vol. 35, no. 10, pp. 1257-1272, October 1988.

3. [3] N. Shirai, I. Matsuda, and S. Itoh, “A Lossless Coding Scheme using Predictors and Arithmetic Code Optimized Iteratively for Each Image,” IEICE technical report. Image engineering, vol. 102, no. 468, pp. 19-24, November 2002.

4. [4] J. Sneyers and P. Wuille, “FLIF: Free Lossless Image Format based on MANIAC Compression,” Proc. 2016 IEEE International Conference on Image Processing (ICIP), September 2016, pp. 66-70.

5. [5] Google Inc., “Webp: A New Image Format for the Web.” http://developers.google.com/speed/webp/