English, Article edition: CONTRAST ENHANCEMENT USING TEXTURE HISTOGRAM AND FUZZY ENTROPY YANHUI GUO; H. D. CHENG; JIANHUA HUANG; ...

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Bookmark: http://trove.nla.gov.au/version/133217
Physical Description
  • article
Language
  • English

Edition details

Title
  • CONTRAST ENHANCEMENT USING TEXTURE HISTOGRAM AND FUZZY ENTROPY
Author
  • YANHUI GUO
  • H. D. CHENG
  • JIANHUA HUANG
  • WEI ZHAO
  • XIANGLONG TANG
Physical Description
  • article
Notes
  • Image enhancement is used to correct contrast deficiencies and to improve the quality of an image. It is essential and critical to extracting features and segmenting images. This paper presents a novel contrast enhancement algorithm based on newly defined texture histogram and fuzzy entropy with the ability to preserve edges and details, while avoiding noise amplification and over-enhancement. To demonstrate the performance, the proposed algorithm is tested on a variety of images and compared with other enhancement algorithms. Experimental results proved that the proposed method has better performance in enhancing images without over-enhancement and under-enhancement.
  • Contrast enhancement, fuzzy logic, texture analysis, maximum entropy principle
  • RePEc:wsi:nmncxx:v:03:y:2007:i:03:p:349-365
Language
  • English
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