Brightness preserving contrast enhancement using polynomial histogram amendment

This method is based on histogram amendment contrast enhancing logarithmic mapping. It fulfils the requirement of mean Brightness preservation and enhances the contrast of the image. It tries to keep more naturalness of the image by avoiding the contrast exaggeration. This method performs polynomial logarithmic mapping using bi-section or Newton method for robust and fast convergence following the condition of mean brightness preservation of the image. It enhances the contrast of the image using parameter free automatic algorithm. Various illustrative examples are given which shows the efficacy of this method.

[1]  M. Abdullah-Al-Wadud,et al.  A Dynamic Histogram Equalization for Image Contrast Enhancement , 2007, 2007 Digest of Technical Papers International Conference on Consumer Electronics.

[2]  Chulwoo Kim,et al.  A TDC-based skew compensation technique for high-speed output driver , 2012, 2012 International SoC Design Conference (ISOCC).

[3]  Chee Siong Teh,et al.  A comparison of RGB and HSI color segmentation in real - time video images: A preliminary study on road sign detection , 2008, 2008 International Symposium on Information Technology.

[4]  Abd. Rahman Ramli,et al.  Minimum mean brightness error bi-histogram equalization in contrast enhancement , 2003, IEEE Trans. Consumer Electron..

[5]  Shanq-Jang Ruan,et al.  Dynamic contrast enhancement based on histogram specification , 2005, IEEE Transactions on Consumer Electronics.

[6]  Abd. Rahman Ramli,et al.  Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation , 2003, IEEE Trans. Consumer Electron..

[7]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Chao Wang,et al.  Brightness preserving histogram equalization with maximum entropy: a variational perspective , 2005, IEEE Trans. Consumer Electron..

[9]  David Menotti,et al.  Multi-Histogram Equalization Methods for Contrast Enhancement and Brightness Preserving , 2007, IEEE Transactions on Consumer Electronics.

[10]  Dani Lischinski,et al.  Gradient Domain High Dynamic Range Compression , 2023 .

[11]  Donald P. Greenberg,et al.  A model of visual adaptation for realistic image synthesis , 1996, SIGGRAPH.

[12]  Zhongfu Ye,et al.  Flattest histogram specification with accurate brightness preservation , 2008 .

[13]  Yücel Altunbasak,et al.  A Histogram Modification Framework and Its Application for Image Contrast Enhancement , 2009, IEEE Transactions on Image Processing.

[14]  Yangyu Fan,et al.  Adjustable weighting image contrast enhancement algorithm and its implementation , 2011, 2011 6th IEEE Conference on Industrial Electronics and Applications.

[15]  Joonki Paik,et al.  Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering , 1998 .

[16]  Qian Chen,et al.  Image enhancement based on equal area dualistic sub-image histogram equalization method , 1999, IEEE Trans. Consumer Electron..

[17]  Yeong-Taeg Kim,et al.  Contrast enhancement using brightness preserving bi-histogram equalization , 1997 .