Texture detail enhancement algorithm based on perceptual approach

Shen-Chuan Tai, Zih Siou Chen, Yi Ying Chang, Ting Chou Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationNISS2010 - 4th International Conference on New Trends in Information Science and Service Science
Pages735-741
Number of pages7
Publication statusPublished - 2010
Event4th International Conference on New Trends in Information Science and Service Science, NISS2010 - Gyeongju, Korea, Republic of
Duration: 2010 May 112010 May 13

Other

Other4th International Conference on New Trends in Information Science and Service Science, NISS2010
CountryKorea, Republic of
CityGyeongju
Period10-05-1110-05-13

All Science Journal Classification (ASJC) codes

  • Information Systems and Management

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    Tai, S-C., Chen, Z. S., Chang, Y. Y., & Tsai, T. C. (2010). Texture detail enhancement algorithm based on perceptual approach. In NISS2010 - 4th International Conference on New Trends in Information Science and Service Science (pp. 735-741). [5488519]