Multi-View 3D CG Image Quality Assessment for Contrast Enhancement Based on S-CIELAB Color Space

Author:

KAWABATA Norifumi1,MIYAO Masaru1

Affiliation:

1. Graduate School of Information Science, Nagoya University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference22 articles.

1. [1] X. Zhang, D.A. Silverstein, J.E. Farrell, and B.A. Wandell, “Color Image Quality Metric S-CIELAB and Its Application on Halftone Texture Visibility,” Proc. IEEE Compcon ‘97, http://dx.doi.org/10.1109/CMPCON.1997.584669, February 1997.

2. [2] G.M. Johnson and M.D. Fairchild, “A Top Down Description of S-CIELAB and CIEDE2000,” Color Research & Application, vol.28, no.6, pp.425-435, 2003.

3. [3] Y. Miyake and T. Nakaguchi, “Evaluation of Color Image Quality-Present State and Problems-,” IEICE Fundamental Review, vol.2, no.3, pp.29-37, 2009 (in Japanese). 10.1587/essfr.2.3_29

4. [4] N. Kawabata and M. Miyao, “3D CG Image Quality Evaluation Including S-CIELAB Color Space with 8 Viewpoints Glassless 3D,” Proc. 2015 IEICE General Conference, A-21-2, p.292, March 2015 (in Japanese).

5. [5] Y. Tsuruoka and M. Meguro, “Color Image Segmentation by Using the CIEDE2000 Color-Difference formula,” IEICE Tech. Rep., vol.112, no.348, SIS2012-29, pp.1-6, 2012 (in Japanese).

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