Adaptive histogram equalization and its variations
Computer Vision, Graphics, and Image Processing
Fundamentals of digital image processing
Fundamentals of digital image processing
Edges: saliency measures and automatic thresholding
Machine Vision and Applications
Digital Image Compression Techniques
Digital Image Compression Techniques
Histogram Equalization using Neighborhood Metrics
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
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
Image enhancement based on equal area dualistic sub-image histogram equalization method
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
Minimum mean brightness error bi-histogram equalization in contrast enhancement
IEEE Transactions on Consumer Electronics
Dnamic contrast enhancement based on histogram specification
IEEE Transactions on Consumer Electronics
A Dynamic Histogram Equalization for Image Contrast Enhancement
IEEE Transactions on Consumer Electronics
Multi-Histogram Equalization Methods for Contrast Enhancement and Brightness Preserving
IEEE Transactions on Consumer Electronics
Shape preserving local histogram modification
IEEE Transactions on Image Processing
Gray and color image contrast enhancement by the curvelet transform
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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
Visual impact enhancement via image histogram smoothing and continuous intensity relocation
Computers and Electrical Engineering
Novel mean-shift based histogram equalization using textured regions
Expert Systems with Applications: An International Journal
Gaussian mixture modeling of histograms for contrast enhancement
Expert Systems with Applications: An International Journal
Two-dimensional histogram equalization and contrast enhancement
Pattern Recognition
The Visual Computer: International Journal of Computer Graphics
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Contrast enhancement plays a fundamental role in image/video processing. Histogram Equalization (HE) is one of the most commonly used methods for image contrast enhancement. However, HE and most other contrast enhancement methods may produce un-natural looking images and the images obtained by these methods are not desirable in applications such as consumer electronic products where brightness preservation is necessary to avoid annoying artifacts. To solve such problems, we proposed an efficient contrast enhancement method based on genetic algorithm in this paper. The proposed method uses a simple and novel chromosome representation together with corresponding operators. Experimental results showed that this method makes natural looking images especially when the dynamic range of input image is high. Also, it has been shown by simulation results that the proposed genetic method had better results than related ones in terms of contrast and detail enhancement and the resulted images were suitable for consumer electronic products.