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Proceedings ArticleDOI

Contrast enhancement using a weighted Histogram Equalization

Abstract
We propose a novel Histogram Equalization (HE) to improve contrast of images. As most existing HE methods still suffer from over-enhancement caused by a quantum jump, the proposed method focuses on robustness to deal with the problem in various image conditions. To achieve the goal, we adjust the curve shape of the output mapping function by properly combining the curve shape of the null mapping function and that of the normal mapping function from the conventional HE according to the weighting value. Experimental results show that the proposed method well endures difficult conditions and provides moderate image quality.

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Citations
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Journal ArticleDOI

An adaptive gamma correction for image enhancement

TL;DR: An adaptive gamma correction (AGC) is proposed to appropriately enhance the contrast of the image where the parameters of AGC are set dynamically based on the image information.
Posted Content

Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement

TL;DR: Building upon Retinex rule, RUAS first establishes models to characterize the intrinsic underexposed structure of low-light images and unroll their optimization processes to construct the authors' holistic propagation structure and is able to obtain a top-performing image enhancement network, which is with fast speed and requires few computational resources.
Journal ArticleDOI

Contrast Enhancement Based on Intrinsic Image Decomposition

TL;DR: The proposed intrinsic image decomposition priors are introduced into decomposition models for contrast enhancement and achieves better or comparable subjective and objective quality compared with the state-of-the-art methods.
Book ChapterDOI

Comprehensive Evaluation for HE Based Contrast Enhancement Techniques

TL;DR: A quantitative analysis for the assessment of image quality based on several subjective and objective evaluation metrics is proposed and there are 11 different HE based contrast enhancement techniques evaluated.
Journal ArticleDOI

Multiobjectives bihistogram equalization for image contrast enhancement

TL;DR: Both quantitative and qualitative results indicate that MBOBHE outperforms other existing bi-HE methods, in terms of comprehensive performance of HE that is capable of providing a holistic view.
References
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Journal ArticleDOI

Adaptive histogram equalization and its variations

TL;DR: It is concluded that clipped ahe should become a method of choice in medical imaging and probably also in other areas of digital imaging, and that clip ahe can be made adequately fast to be routinely applied in the normal display sequence.
Journal ArticleDOI

Contrast enhancement using brightness preserving bi-histogram equalization

TL;DR: It is shown mathematically that the proposed algorithm preserves the mean brightness of a given image significantly well compared to typical histogram equalization while enhancing the contrast and, thus, provides a natural enhancement that can be utilized in consumer electronic products.
Journal ArticleDOI

Image enhancement based on equal area dualistic sub-image histogram equalization method

TL;DR: 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.
Journal ArticleDOI

Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation

TL;DR: Simulation results show that the cases which are not handled well by HE, BBHE and dualistic sub image histogram equalization (DSIHE), have been properly enhanced by RMSHE.
Journal ArticleDOI

A distortion measure for blocking artifacts in images based on human visual sensitivity

TL;DR: A visual model that gives a distortion measure for blocking artifacts in images is presented and results show that the error visibility predicted by the model correlates well with the subjective ranking.
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