A Platform Implementation for Real Time Image Processing
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
EURASIP Journal on Advances in Signal Processing
An image contrast enhancement method based on genetic algorithm
Pattern Recognition Letters
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
Image contrast enhancement for preserving mean brightness without losing image features
Engineering Applications of Artificial Intelligence
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In this paper, a smart contrast enhancement technique based on conventional histogram equalization (HE) algorithm is proposed. This dynamic histogram equalization (DHE) technique takes control over the effect of traditional HE so that it performs the enhancement of an image without making any loss of details in it. DHE partitions the image histogram based on local minima and assigns specific gray level ranges for each partition before equalizing them separately. These partitions further go though a repartitioning test to ensure the absence of any dominating portions. This method outperforms other present approaches by enhancing the contrast well without introducing severe side effects, such as washed out appearance, checkerboard effects etc., or undesirable artifacts.