Automatic image enhancement by content dependent exposure correction
EURASIP Journal on Applied Signal Processing
Integrated Computer-Aided Engineering
A histogram modification framework and its application for image contrast enhancement
IEEE Transactions on Image Processing
An image contrast enhancement method based on genetic algorithm
Pattern Recognition Letters
A new algorithmic approach for contrast enhancement
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Multiple layers block overlapped histogram equalization for local content emphasis
Computers and Electrical Engineering
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
Contrast enhancement using adaptively modified histogram equalization
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Two-dimensional histogram equalization and contrast enhancement
Pattern Recognition
Contrast brushes: interactive image enhancement by direct manipulation
Computational Aesthetics'09 Proceedings of the Fifth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Image contrast enhancement for preserving mean brightness without losing image features
Engineering Applications of Artificial Intelligence
Image enhancement using Exposure based Sub Image Histogram Equalization
Pattern Recognition Letters
The Visual Computer: International Journal of Computer Graphics
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Histogram equalization is a simple and effective image enhancing technique. But in some conditions, the luminance of an image may be changed significantly after the equalizing process, this is why it has never been utilized in a video system in the past. A novel histogram equalization technique, equal area dualistic sub-image histogram equalization, is put forward in this paper. First, the image is decomposed into two equal area sub-images based on its original probability density function. Then the two sub-images are equalized respectively. Finally, we obtain the results after the processed sub-images are composed into one image. The simulation results indicate that the algorithm can not only enhance the image information effectively but also preserve the original image luminance well enough to make it possible to be used in a video system directly