Contrast enhancement using multipeak histogram equalization with brightness preserving

Wongsritong, K.; Kittayaruasiriwat, K.; Cheevasuvit, F.; Dejhan, Kobchai; Somboonkaew, Armote

doi:10.1109/apccas.1998.743808

Cited by 70 publications

(43 citation statements)

References 1 publication

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“…To begin with Brightness Preserving Bi-Histogram Equalization (BBHE) has been proposed by Kim in 1997 [7] to safeguard the mean luster of a given picture while difference is upgraded and it protects the radiance of pictures at some degree and indicated more dominant result than HE. Bi-Histogram Equalization with Neighborhood Metric (BHENM) has been presented by Sengee et al, [23] in 2010, which isolate the cosmically gigantic histogram canisters that because washout antiques into sub-receptacles using neighborhood measurements, in addition to the histogram of the flawless picture is separated into two sub-histograms predicated on the mean of the histogram. At that point, subhistograms are balanced freely using refined histogram leveling, which induce compliment histograms.…”

Section: Bi-histogram Equalization Methodsmentioning

confidence: 99%

Histogram Equalization Tool: Brightness Preservation and Contrast Enhancement using Segmentation with Opening-by-Reconstruction

Kaur¹

2015

IJCA

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Sundry improvement plans are used for improving a picture which incorporates ash scale control, sifting and Histogram Equalization (HE). The issue with pictures is that, their quality depends upon a number of different variables like lighting in the picture catching area, commotion and capability of the administrator. The writing addresses the verbalized issue widely and presents answers for them. Contrast improvement systems are used for correcting visual nature of low difference pictures. Histogram Equalization (HE) is one such procedure used for difference upgrade. The proposed illustrations have a few shared traits in their procedures. Approximately every one of them is at fluctuation either in histogram leveling strategies or in picture quality estimation instruments. An instrument is lost in the writing that is proficient to improve the picture and even perform the examination. In this paper, a GUI apparatus is composed which is coupled with different procedures of picture improvement through histogram balance. Opening-byrecreation is a standout amongst the most effective picture division strategy is used to attain to the craved results. To assess the adequacy of the delineated systems; PSNR, Tenengrad, and Absolute Mean Brightness mistake (AMBE) are used as parameters. The results are decently backed by the parameter estimations toward the end. General TermsDigital Image Processing, Image Enhancement and Histogram Equalization.

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Section: Bi-histogram Equalization Methodsmentioning

confidence: 99%

Histogram Equalization Tool: Brightness Preservation and Contrast Enhancement using Segmentation with Opening-by-Reconstruction

Kaur¹

2015

IJCA

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“…These two histogram sections are then equalized independently. The major difference among the methods in this family is the criteria used to divide the input histogram [9]. Next, Dynamic Histogram Equalization (DHE) technique takes control over the effect of traditional HE so that it performs the enhancement of an image without making any loss of details in it.…”

Section: Introductionmentioning

confidence: 99%

“…Some researchers have also focused on improvement of histogram equalization based contrast enhancement such as mean preserving bi-histogram equalization (BBHE) [9], equal area dualistic sub-image histogram equalization (DSIHE) [15] and minimum mean brightness error bi-histogram equalization (MMBEBHE) [5], [16]. BBHE separates the input image histogram into two parts based on input mean.…”

Section: Introductionmentioning

confidence: 99%

Survey of Contrast Enhancement Techniques based on Histogram Equalization

Kaur¹,

Kaur²,

Kaur³

2011

IJACSA

152

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“…In which enhanced method is achieved by modifying image histogram. This method is actually an extension of MPHEBP [10] and DHE [11]. In BPDHE first Smooth the histogram with Gaussian filter.…”

Section: Iintroductionmentioning

confidence: 99%

Image Enhancement using Edge Sharpening and Bidirectional Smooth Histogram Stretching

Patil¹,

Shevade²,

Raikwar³

2013

IJCA

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Contrast enhancement using multipeak histogram equalization with brightness preserving

Cited by 70 publications

References 1 publication

Histogram Equalization Tool: Brightness Preservation and Contrast Enhancement using Segmentation with Opening-by-Reconstruction

Histogram Equalization Tool: Brightness Preservation and Contrast Enhancement using Segmentation with Opening-by-Reconstruction

Survey of Contrast Enhancement Techniques based on Histogram Equalization

Image Enhancement using Edge Sharpening and Bidirectional Smooth Histogram Stretching

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