Adaptive histogram equalization and its variations
Computer Vision, Graphics, and Image Processing
Digital Image Processing
Recursive sub-image histogram equalization applied to gray scale images
Pattern Recognition Letters
Contrast enhancement using brightness preserving bi-histogram equalization
IEEE Transactions on Consumer Electronics
Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
Reduction of low gray-level contours using error diffusion based on emission characteristics of PDP
IEEE Transactions on Consumer Electronics
Probabilistic Error Diffusion For Image Enhancement
IEEE Transactions on Consumer Electronics
IEEE Transactions on Image Processing
An advanced contrast enhancement using partially overlapped sub-block histogram equalization
IEEE Transactions on Circuits and Systems for Video Technology
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Generally, the global histogram equalization of contrast enhancement methods was used in various application fields because of its simple and effective function. But, as it has a disadvantage that the brightness of an image is changed excessively, in spite of heavy computational complexity, overlapped sub-block histogram equalization method reflecting local histogram properties is used mainly. Also, the global and local histogram equalization methods increase excessively the contrast of simple background occupying wide scope, and they causes the false contour which is unpleasant to the perception operation of an observer. So, in order to improve the local brightness, this paper derived the local histogram equalization (LHE) with the minimal overlapped block size that is optimized for Full High Definition (FHD: 1920×1080) representing the standard image size of large-size LCD (Liquid Crystal Display) TV and can be applied without causing the blocking artifacts, and then it proposed the image contrast enhancement method that combines the modified error diffusion (ED) method in order to reduce the contouring artifacts. This experimental results show that the proposed contrast enhancement method preserves the local image brightness and suppresses the contouring artifacts.