scholarly journals Image Quality Analysis of a Novel Histogram Equalization Method for Image Contrast Enhancement

2010 ◽  
Vol E93-D (7) ◽  
pp. 1773-1779 ◽  
Author(s):  
Fan-Chieh CHENG ◽  
Shanq-Jang RUAN
Keyword(s):  
Image Quality ◽  
Contrast Enhancement ◽  
Histogram Equalization ◽  
Image Contrast ◽  
Quality Analysis ◽  
Image Quality Analysis ◽  
Image Contrast Enhancement ◽  
Equalization Method

scholarly journals Image Pixel Contrast Enhancement Using Enhanced Multi Histogram Equalization Method

2021 ◽  
Vol 26 (1) ◽  
pp. 95-101
Author(s):  
Gutta Srinivasa Rao ◽  
Atluri Srikrishna
Keyword(s):  
Contrast Enhancement ◽  
Image Enhancement ◽  
Satellite Image ◽  
Histogram Equalization ◽  
Image Contrast ◽  
The Poor ◽  
Image Contrast Enhancement ◽  
Poor Lighting ◽  
Equalization Method ◽  
Image Datasets

Image Enhancement methods produce various sorts of problems, for example, unnatural impacts, over-improvement, and these downsides become increasingly unmistakable in improving dull Images. Histogram Equalization (HE) method is a straightforward and generally utilized Image contrast enhancement procedure. The fundamental task of HE is it changes the contrast of the Image. To perform this task, different HE techniques have been proposed. These techniques protect the brightness or contrast on the final Image that doesn't have a characteristic look. To overcome the drawbacks of HE, Enhanced Multi Histogram Equalization (EMHE) technique is proposed, which divide the Image into a few sub images and again these sub images are divided into sub-images, and traditional HE strategy is applied to each sub Image for getting better results. The improvement is brought about by repetitive data present in sub-pixel moves between relating Lightroom (LR) Images of a similar scene. The principal phase of the development incorporates Image enrollment of LR Images utilizing known parameters and geo-referencing methods for manufactured and genuine information individually. The proposed development of M-HE Images has been assessed on the LR Images obtained from satellite Image datasets to exhibit the clarity of the images by enhancing the contrast on the poor lighting images.

scholarly journals Local Contrast Enhancement Utilizing Bidirectional Switching Equalization of Separated and Clipped Subhistograms

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Haidi Ibrahim ◽  
Seng Chun Hoo
Keyword(s):  
Contrast Enhancement ◽  
Histogram Equalization ◽  
Processing Technique ◽  
Image Contrast ◽  
Local Contrast ◽  
Image Contrast Enhancement ◽  
Enhancement Method ◽  
Equalization Technique ◽  
Histogram Bins ◽  
Almost All

Digital image contrast enhancement methods that are based on histogram equalization technique are still useful for the use in consumer electronic products due to their simple implementation. However, almost all the suggested enhancement methods are using global processing technique, which does not emphasize local contents. Therefore, this paper proposes a new local image contrast enhancement method, based on histogram equalization technique, which not only enhances the contrast, but also increases the sharpness of the image. Besides, this method is also able to preserve the mean brightness of the image. In order to limit the noise amplification, this newly proposed method utilizes local mean-separation, and clipped histogram bins methodologies. Based on nine test color images and the benchmark with other three histogram equalization based methods, the proposed technique shows the best overall performance.

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