Share Email Print
cover

Proceedings Paper • new

A color quantization method preserving infrequent salient colors and its implementation on mobile devices
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, we propose a new color quantization method that can preserve infrequent salient colors of an original image. The infrequent salient colors mean that they are not dominant globally, but are dominant locally and are important to keep the impression of the original image. In the proposed method, color quantization is realized by k-means clustering and an input dataset for the clustering are adaptively and repeatedly modified based on local quantization errors to preserve the infrequent salient colors. The proposed method is implemented as an Android application to verify the feasibility of the use of the proposed method on mobile devices.

Paper Details

Date Published: 22 March 2019
PDF: 4 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110493J (22 March 2019); doi: 10.1117/12.2521607
Show Author Affiliations
Yukiya Fukuda, National Institute of Technology, Ube College (Japan)
Hideaki Misawa, National Institute of Technology, Ube College (Japan)
Hakaru Tamukoh, Kyushu Institute of Technology (Japan)
Ryosuke Kubota, National Institute of Technology, Ube College (Japan)
Byungki Cha, Kyushu Institute of Information Sciences (Japan)
Takashi Aso, Kyushu Institute of Information Sciences (Japan)


Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

© SPIE. Terms of Use
Back to Top