Further applications of the DSCSI metric for evaluating color quantization

Henryk Palus; Mariusz Frackiewicz

doi:10.1117/12.2268545

17 March 2017 Further applications of the DSCSI metric for evaluating color quantization

Henryk Palus, Mariusz Frackiewicz

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103411H (2017) https://doi.org/10.1117/12.2268545
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

Color image quantization is an often used in such tasks as image compression and image segmentation. In the paper, we continue to consider the usefulness of the new DSCSI metric for evaluating quantized images. Our use of the DSCSI metric confirmed that the color quantization in the CIELAB color space is better than in the basic RGB color space. On several examples we found very good DSCSI suitability in the case of quantization with dithering. During the tests of different dithering algorithms the best results, in terms of DSCSI metric, reached the classical Floyd-Steinberg algorithm at error propagation level of 75-85%.

Citation Download Citation

Henryk Palus and Mariusz Frackiewicz "Further applications of the DSCSI metric for evaluating color quantization", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411H (17 March 2017); https://doi.org/10.1117/12.2268545

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available