Proceedings ArticleDOI
Contrast enhancement using a weighted Histogram Equalization
Se-Hwan Yun,Jin Heon Kim,Suki Kim +2 more
- pp 203-204
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.read more
Citations
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Journal ArticleDOI
An adaptive gamma correction for image enhancement
Shanto Rahman,Mostafijur Rahman,Mohammad Abdullah-Al-Wadud,Golam Dastegir Al-Quaderi,Mohammad Shoyaib +4 more
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
Stephen M. Pizer,Stephen M. Pizer,E. Philip Amburn,E. Philip Amburn,John D. Austin,Robert Cromartie,Ari Geselowitz,Ari Geselowitz,Trey Greer,Bart M. ter Haar Romeny,John B. Zimmerman,John B. Zimmerman +11 more
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
Yu Wang,Qian Chen,Baeomin Zhang +2 more
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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