Title :
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
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;
Conference_Titel :
Advanced Software Engineering and Its Applications (ASEA), 2014 7th International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-1-4799-7760-4
DOI :
10.1109/ASEA.2014.13