Results 21 to 30 of about 112,016 (186)
Exposure Based Multi-Histogram Equalization Contrast Enhancement for Non-Uniform Illumination Images
Non-uniform illuminated images pose challenges in contrast enhancement due to the existence of different exposure region caused by uneven illumination.
Siu Fong Tan, Nor Ashidi Mat Isa
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Contrast Enhancement Algorithm of Remote Sensing Image Based on Histogram Optimization [PDF]
Remote sensing images usually have low contrast.In order to deal with this problem,a remote sensing image contrast enhancement algorithm based on optimizing histogram is proposed.The Histogram Equalization(HE) and Contrast Limited Adaptive Histogram ...
ZHUANG Yulin
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Mine image enhancement method based on multi-scale local histogram equalization
There are problems of under-enhancement and over-enhancement in commonly mine image enhancement methods such as histogram equalization, Retinex theory, homomorphic filtering, wavelet analysis, etc.
TU Yihan, WANG Puqing
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Images are sometimes affected by improper illumination and are dark. This happens usually in medical images or the images acquired in low light conditions.
Navdeep Singh +2 more
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Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images [PDF]
Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image.
M. Shakeri +2 more
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HEBS: Histogram Equalization for Backlight Scaling [PDF]
In this paper, a method is proposed for finding a pixel transformation function that maximizes backlight dimming while maintaining a pre-specified image distortion level for a liquid crystal display. This is achieved by finding a pixel transformation function, which maps the original image histogram to a new histogram with lower dynamic range. Next the
Ali Iranli, Hanif Fatemi, Massoud Pedram
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Equal-bin-width histogram versus equal-bin-count histogram
The histogram has all its bin widths equal to some non-random number arbitrary set by an analyst (EBWH). In the result, particular bin counts are random variables. This paper presents also a histogram that is constructed in a converse manner. Bin counts are all equal to some non-random number arbitrary set by an analyst (EBCH).
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SLAAHE: Selective Apex Adaptive Histogram Equalization
Medical imaging enables specialists to make diagnoses our internal body organs for detecting anomalies without being intrusive. Unfortunately, the images produced by various modalities are not only plagued by noises, but the images contrasts are also ...
Manas Sarkar, Ardhendu Mandal
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Histogram Equalization-Based Thresholding
The thresholding results for gray level images depend greatly on the thresholding method applied. However, this letter proposes a histogram equalization-based thresholding algorithm that makes the thresholding results insensitive to the thresholding method applied.
Soon Hak Kwon +4 more
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