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Journal ArticleDOI

Image contrast enhancement with brightness preservation using an optimal gamma correction and weighted sum approach

TLDR
The non-linear gamma correction method is adopted to enhance the contrast, while a weighted sum approach is employed for brightness preservation, and results have shown that the proposed method outperforms currently available methods in contrast to enhancement and brightness preservation.
Abstract
The enhancement of image contrast and preservation of image brightness are two important but conflicting objectives in image restoration. Previous attempts based on linear histogram equalization had achieved contrast enhancement, but exact preservation of brightness was not accomplished. A new perspective is taken here to provide balanced performance of contrast enhancement and brightness preservation simultaneously by casting the quest of such solution to an optimization problem. Specifically, the non-linear gamma correction method is adopted to enhance the contrast, while a weighted sum approach is employed for brightness preservation. In addition, the efficient golden search algorithm is exploited to determine the required optimal parameters to produce the enhanced images. Experiments are conducted on natural colour images captured under various indoor, outdoor and illumination conditions. Results have shown that the proposed method outperforms currently available methods in contrast to enhancement and...

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Citations
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Journal ArticleDOI

Contrast enhancement via texture region based histogram equalization

TL;DR: The novel idea presented in this paper is to suppress the impact of pixels in non-textured areas and to exploit texture features for the computation of histogram in the process of HE.
Journal ArticleDOI

Image contrast and color enhancement using adaptive gamma correction and histogram equalization

TL;DR: An effective image contrast enhancement method called an Adaptive Gamma Correction with Weighted Histogram Distribution (AGCWHD) method is proposed to improve contrast while preserving natural color and richer details in images.
Journal ArticleDOI

A Comprehensive Review of Computational Dehazing Techniques

TL;DR: This paper carries out a comprehensive review of dehazing techniques to show that these could be effectively applied in real-life practice and encourages the researchers to use these techniques for removal of haze from hazy images.
Journal ArticleDOI

Fuzzy dissimilarity color histogram equalization for contrast enhancement and color correction

TL;DR: An efficient method called Fuzzy Dissimilarity Adaptive Histogram Equalization with Gamma Correction (FDAHE-GC) algorithm is proposed, obtained from the neighborhood characteristics of an intensity, which is applied to the intensity value of HSI space to improve visual appearance of an image.
Journal ArticleDOI

Low-dose CT image reconstruction using gain intervention-based dictionary learning

TL;DR: Computed tomography approach is extensively utilized in clinical diagnoses, however, X-ray residue in human body may introduce somatic damage such as cancer.
References
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Book

An introduction to optimization

TL;DR: This review discusses mathematics, linear programming, and set--Constrained and Unconstrained Optimization, as well as methods of Proof and Some Notation, and problems with Equality Constraints.
Book

Digital Image Processing 3rd Edition

TL;DR: Digital image processing 3rd edition free ebooks download, ece 643 digital image processing i chapter 5, gonzfm i xxii 5 1.
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

Bi-histogram equalization with a plateau limit for digital image enhancement

TL;DR: This paper presents bi-histogram equalization with a plateau level (BHEPL) as one of the options for the system that requires a short processing time image enhancement, and shows better enhancement results as compared with some multi-sections mean brightness preserving histograms equalization methods.
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