DocumentCode :
518924
Title :
Texture detail enhancement algorithm based on perceptual approach
Author :
Tai, Shen-Chuan ; Chang, Yi-Ying ; Chen, Zih-Siou ; Tsai, Ting-Chou
Author_Institution :
Electr. Eng. Dept., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear :
2010
fDate :
11-13 May 2010
Firstpage :
735
Lastpage :
741
Abstract :
When capturing scene in a real world, traditional display devices would encounter a problem of representing high contrast. It is because the part in the dimmest region or in the brightest region is almost invisible. The causes of this invisible part can be ascribed to two limits-the brightness adaptation of eye and the architecture of display devices. To overcome this problem, contrast enhancement and texture detail enhancement algorithms have been designed to clamp the contrast and conform to human visual system. The goal of proposed algorithm is to enhance the fine information which is not easy to perceptual by human eye in digital image. Sometimes texture detail is very important information for quality of image, such as painting identification, fingerprint identification and object identification of aerial photographs etc. In this paper, we proposed an algorithm to represent obviously texture detail based on perceptual approach. The results of our experimental show that texture detail can be easily observed after applying our algorithm.
Keywords :
image enhancement; image texture; contrast enhancement algorithm; display devices; fingerprint identification; human visual system; image quality; object identification; painting identification; perceptual approach; texture detail enhancement algorithm; Algorithm design and analysis; Brightness; Clamps; Digital images; Displays; Fingerprint recognition; Humans; Layout; Painting; Visual system; Contrast Enhancement; Human Visual System; Perceptual; Texture Detail Enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Trends in Information Science and Service Science (NISS), 2010 4th International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-1-4244-6982-6
Electronic_ISBN :
978-89-88678-17-6
Type :
conf
Filename :
5488519
Link To Document :
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