Optical Illusion Effect by Histogram Analysis

Author

Gwanggil Jeon ; Eunju Kim ; Nam Kook Kim

Author_Institution

Dept. of Embedded Syst. Eng., Incheon Nat. Univ., Incheon, South Korea

fYear

2014

fDate

20-23 Dec. 2014

Firstpage

35

Lastpage

38

Abstract

In this paper, we presents a fuzzy concept based histogram equalization approach. We use Kaufmann´s metric of fuzziness concept for histogram equalization. The principal idea of this article is to utilize and evaluate degree of fuzziness. The presented histogram equalization approach is processed to Y component of YUV color space, which is transformed information from RGB image. The improved Y channel information is merged with color information signals I and Q, and re-transformed to generated RGB image. The subjective performance comparison is provided in simulation results section.

Keywords

fuzzy set theory; image colour analysis; Kaufmann´s metric; RGB image generation; Y channel information; YUV color space; color information signals; fuzzy concept; histogram equalization approach; optical illusion effect; subjective performance comparison; Brightness; Computational modeling; Consumer electronics; Histograms; Image color analysis; Measurement; PSNR; Histogram equalization; RGB color cube; YUV color model; fuzzy; membership function; transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Software Engineering and Its Applications (ASEA), 2014 7th International Conference on

Conference_Location

Haikou

Print_ISBN

978-1-4799-7760-4

Type

conf

DOI

10.1109/ASEA.2014.13

Filename

7023892