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  • 标题:Performance Evaluation of Image Enhancement Techniques
  • 本地全文:下载
  • 作者:Shruti Puniani ; Sankalap Arora
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:8
  • 页码:251-262
  • DOI:10.14257/ijsip.2015.8.8.27
  • 出版社:SERSC
  • 摘要:Color Image enhancement is a process in which the perceptual information of an image is improved to obtain more information and details contained in the image. It improves the subjective quality of an image by working with original data. This paper focuses on evaluating the performance of various image enhancement techniques. These techniques are either based on histogram modification or are based on fuzzy logic. The techniques are compared using two quantitative measures namely; Contrast Improvement index (CII) and Tenengrad measure. The results have shown that Lab and edge preservation based fuzzy image enhancement (LEFM) yields the best results
  • 关键词:Color image; fuzzy logic; Lab color space; Histogram equalization; edge ; preserving smoothing
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