Adaptive histogram analysis for image enhancement

Qieshi Zhang, Hiroshi Inaba, Sei Ichiro Kamata

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

One image processing application is to reconstruct the original scene from the low quality images. Considering the idea histogram distribution can reflect good vision effect. So many histogram analyzing based methods have been studied recently. However, some methods require users to set some parameters or condition, and cannot get the optimal results automatically. To overcome those short come, this paper presents an Adaptive Histogram Separation and Mapping (AHSM) method for Backlight image enhancement. First, we separate the histogram by binary tree structure with the proposed Adaptive Histogram Separation Unit (AHSU). And then mapping the Low Dynamic Range (LDR) histogram partition into High Dynamic Range (HDR). By doing this, the excessive or scarcity enhancement can be avoid. The experimental results show that the proposed method can gives better enhancement results, also compared with some histogram analyzing based methods and get better results.

本文言語English
ホスト出版物のタイトルProceedings - 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010
ページ408-413
ページ数6
DOI
出版ステータスPublished - 2010 12 1
イベント4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010 - Singapore, Singapore
継続期間: 2010 11 142010 11 17

出版物シリーズ

名前Proceedings - 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010

Conference

Conference4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010
CountrySingapore
CitySingapore
Period10/11/1410/11/17

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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