Survey on Histogram Equalization method based Image Enhancement techniques

Image Enhancement is the process of improving the image quality for better visibility of images. The visibility and look of image will be decided by human eyes, which varies from person to person. The images resulted by quality measures made by hardware and software may not be always good and are not having natural look. Many methods are introduced to enhance images. Histogram Equalization is the method in which, the histograms of the input images are altered to obtain the enhanced images. In this paper, we studied various methods of Histogram Equalization, the different types are briefly explained and placed in chronological order in table.

[1]  Bingjian Wang,et al.  A real-time contrast enhancement algorithm for infrared images based on plateau histogram , 2006 .

[2]  Myung-Ryul Choi,et al.  A contrast enhancement method using dynamic range separate histogram equalization , 2008, IEEE Transactions on Consumer Electronics.

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

[4]  M. Ali Akber Dewan,et al.  A Dynamic Histogram Equalization for Image Contrast Enhancement , 2007, IEEE Transactions on Consumer Electronics.

[5]  Xu Jun.  New enhancement algorithm for infrared image based on double plateaus histogram , 2008 .

[6]  Sankar K. Pal,et al.  Non-parametric modified histogram equalisation for contrast enhancement , 2013, IET Image Process..

[7]  Lei Wang,et al.  A new contrast enhancement technique by adaptively increasing the value of histogram , 2009, 2009 IEEE International Workshop on Imaging Systems and Techniques.

[8]  O. A. K. Reddy,et al.  Power-Constrained Contrast Enhancement for Emissive Displays Based on Histogram Equalization , 2013 .

[9]  M. Abdullah-Al-Wadud,et al.  A spatially controlled histogram equalization for image enhancement , 2008, 2008 23rd International Symposium on Computer and Information Sciences.

[10]  Xiubao Sui,et al.  Range Limited Bi-Histogram Equalization for image contrast enhancement , 2013 .

[11]  Heung-Kook Choi,et al.  Image contrast enhancement using bi-histogram equalization with neighborhood metrics , 2010, IEEE Transactions on Consumer Electronics.

[12]  H. D. Cheng,et al.  A simple and effective histogram equalization approach to image enhancement , 2004, Digit. Signal Process..

[13]  Haidi Ibrahim,et al.  Enhancement of Microscopic Images Using Modified Self-Adaptive Plateau Histogram Equalization , 2009, 2009 International Conference on Computer Technology and Development.

[14]  KimYeong-Taeg.  Contrast enhancement using brightness preserving bi-histogram equalization , 1997 .

[15]  Keith E. Muller,et al.  Contrast-limited adaptive histogram equalization: speed and effectiveness , 1990, [1990] Proceedings of the First Conference on Visualization in Biomedical Computing.

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

[17]  Shen-Chuan Tai,et al.  Modified histogram equalization based on the partitioned dynamic range , 2014, 2014 IEEE International Conference on Consumer Electronics - Taiwan.

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

[19]  Joonki Paik,et al.  Adaptive contrast enhancement using gain-controllable clipped histogram equalization , 2008, IEEE Transactions on Consumer Electronics.

[20]  Rabab Kreidieh Ward,et al.  Fast Image/Video Contrast Enhancement Based on Weighted Thresholded Histogram Equalization , 2007, IEEE Transactions on Consumer Electronics.

[21]  Raúl Enrique Sánchez-Yáñez,et al.  Image enhancement using Bi-Histogram Equalization with adaptive sigmoid functions , 2014, 2014 International Conference on Electronics, Communications and Computers (CONIELECOMP).

[22]  Lee-Sup Kim,et al.  An advanced contrast enhancement using partially overlapped sub-block histogram equalization , 2001, IEEE Trans. Circuits Syst. Video Technol..

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

[24]  Y. Y. Tan,et al.  Recursive sub-image histogram equalization applied to gray scale images , 2007, Pattern Recognit. Lett..

[25]  Nor Ashidi Mat Isa,et al.  Quadrants dynamic histogram equalization for contrast enhancement , 2010, IEEE Transactions on Consumer Electronics.

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

[27]  Hsu-Chun Yen,et al.  Tri-histogram Equalization based on first order statistics , 2009, 2009 IEEE 13th International Symposium on Consumer Electronics.

[28]  Nor Ashidi Mat Isa,et al.  Adaptive contrast enhancement methods with brightness preserving , 2010, IEEE Transactions on Consumer Electronics.

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

[30]  Manjunatha Mahadevappa,et al.  Brightness preserving dynamic fuzzy histogram equalization , 2010, IEEE Transactions on Consumer Electronics.

[31]  F. Cheevasuvit,et al.  Contrast enhancement using multipeak histogram equalization with brightness preserving , 1998, IEEE. APCCAS 1998. 1998 IEEE Asia-Pacific Conference on Circuits and Systems. Microelectronics and Integrating Systems. Proceedings (Cat. No.98EX242).

[32]  Bo Zhou,et al.  A new adaptive contrast enhancement algorithm for infrared images based on double plateaus histogram equalization , 2012 .

[33]  Seungjoon Yang,et al.  Contrast enhancement using histogram equalization with bin underflow and bin overflow , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[34]  Mongi A. Abidi,et al.  Gray-level grouping (GLG): an automatic method for optimized image contrast Enhancement-part I: the basic method , 2006, IEEE Transactions on Image Processing.

[35]  Haidi Ibrahim,et al.  Image sharpening using sub-regions histogram equalization , 2009, IEEE Transactions on Consumer Electronics.

[36]  Ajay Goyal,et al.  Independent histogram equalization using optimal threshold for contrast enhancement and brightness preservation , 2013, 2013 4th International Conference on Computer and Communication Technology (ICCCT).

[37]  Saad Rehman,et al.  Enhanced dynamic quadrant histogram equalization plateau limit for image contrast enhancement , 2015, 2015 Fifth International Conference on Digital Information and Communication Technology and its Applications (DICTAP).

[38]  Heung-Kook Choi,et al.  Brightness preserving weight clustering histogram equalization , 2008, IEEE Transactions on Consumer Electronics.

[39]  Ekram Khan,et al.  Weighted average multi segment histogram equalization for brightness preserving contrast enhancement , 2012 .

[40]  Haidi Ibrahim,et al.  Brightness Preserving Dynamic Histogram Equalization for Image Contrast Enhancement , 2007, IEEE Transactions on Consumer Electronics.

[41]  Min Gyo Chung,et al.  Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement , 2008, IEEE Transactions on Consumer Electronics.

[42]  Yu-Kumg Chen,et al.  A Weighting Mean-Separated Sub-Histogram Equalization for Contrast Enhancement , 2010, 2010 International Conference on Biomedical Engineering and Computer Science.

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

[44]  Gabriel Thomas,et al.  Histogram Specification: A Fast and Flexible Method to Process Digital Images , 2011, IEEE Transactions on Instrumentation and Measurement.

[45]  Chao Wang,et al.  Brightness preserving histogram equalization with maximum entropy: a variational perspective , 2005, IEEE Transactions on Consumer Electronics.