An adaptive brightness preserving bi-histogram equalization

Hongying Shen; Shuifa Sun; Bangjun Lei; Sheng Zheng

doi:10.1117/12.902215

5 December 2011 An adaptive brightness preserving bi-histogram equalization

Hongying Shen, Shuifa Sun, Bangjun Lei, Sheng Zheng

Proceedings Volume 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing; 80050U (2011) https://doi.org/10.1117/12.902215
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Based on mean preserving bi-histogram equalization (BBHE), an adaptive image histogram equalization algorithm for contrast enhancement is proposed. The threshold is gotten with adaptive iterative steps and used to divide the original image into two sub-images. The proposed Iterative of Brightness Bi-Histogram Equalization overcomes the over-enhancement phenomenon in the conventional histogram equalization. The simulation results show that the algorithm can not only preserve the mean brightness, but also keep the enhancement image information effectively from visual perception, and get a better edge detection result.

Citation Download Citation

Hongying Shen, Shuifa Sun, Bangjun Lei, and Sheng Zheng "An adaptive brightness preserving bi-histogram equalization", Proc. SPIE 8005, MIPPR 2011: Parallel Processing of Images and Optimization and Medical Imaging Processing, 80050U (5 December 2011); https://doi.org/10.1117/12.902215

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