Modified Contrast Enhancement Algorithm and Its Hardware Design for Real-Time Applications

In the paper, a modified histogram equalization for contrast enhancement of monochrome image/frame is proposed. We use the sampled and quantized image to create the look-up table and apply the table to obtain the enhanced image. The features of the modified scheme are as follows: 1) As compared with the original scheme by the MATLAB simulation, the difference between the results of modified and original schemes is tiny and indistinguishable by our eyes. 2) For requirement of real-time processing, the proposed sampling and quantization technique is more suitable for pipelining in hardware design. The proposed design is adequate for most of surveillance system even if the frame size of video is larger than HDTV.

[1]  Xiaoming Liu,et al.  A Direct Image Contrast Enhancement Algorithm in the Wavelet Domain for Screening Mammograms , 2009, IEEE Journal of Selected Topics in Signal Processing.

[2]  Soo-Chang Pei,et al.  Virtual restoration of ancient Chinese paintings using color contrast enhancement and lacuna texture synthesis , 2004, IEEE Transactions on Image Processing.

[3]  Haidi Ibrahim,et al.  Bi-histogram equalization with a plateau limit for digital image enhancement , 2009, IEEE Transactions on Consumer Electronics.

[4]  Ioannis M. Stephanakis,et al.  Enhancement of medical images using a fuzzy model for segment dependent local equalization , 2003, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.

[5]  Mohammad Bagher Shamsollahi,et al.  Nonsubsampled higher-density discrete wavelet transform: Filter design and application in image contrast enhancement , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[6]  Myeong Ho Lee,et al.  Key Success Factors for Korea's Broadband , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

[7]  S. Jung,et al.  Notice of Removal: Improved exact histogram specification based on the human visual system , 2011 .

[8]  김정연,et al.  서브블록 히스토그램 등화기법을 이용한 개선된 콘트래스트 강화 알고리즘 ( An Advanced Contrast Enhancement Using Partially Overlapped Sub-Block Histogram Equalization ) , 1999 .

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

[10]  Sos S. Agaian,et al.  Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy , 2007, IEEE Transactions on Image Processing.

[11]  Antonios Gasteratos,et al.  Fast centre- surround contrast modification , 2008 .

[12]  Azriel Rosenfeld,et al.  Digital Picture Processing , 1976 .

[13]  Jian Zhang,et al.  Adaptive local contrast enhancement for the visualization of high dynamic range images , 2008, 2008 19th International Conference on Pattern Recognition.

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

[15]  M.R. Alsharif,et al.  Image Enhancement Based on Logarithmic Transform Coefficient and Adaptive Histogram Equalization , 2007, 2007 International Conference on Convergence Information Technology (ICCIT 2007).

[16]  Y. Yang,et al.  Medical image enhancement algorithm based on wavelet transform , 2010 .

[17]  Sos S. Agaian,et al.  Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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

[19]  Hung-Son Le,et al.  Fused logarithmic transform for contrast enhancement , 2008 .

[20]  José L. Pérez-Córdoba,et al.  Histogram equalization of speech representation for robust speech recognition , 2005, IEEE Transactions on Speech and Audio Processing.

[21]  Hazem M. Abbas,et al.  An FPGA Implementation of a Competitive Hopfield Neural Network for Use in Histogram Equalization , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

[22]  Lei Wang,et al.  Implementation of a new contrast enhancement method for video images , 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications.