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Enhancement techniques for local content preservation and contrast improvement in images

ISSN : 0975-5578
Journal from gdlhub / 2017-08-14 11:52:34
Oleh : Chelsy Sapna Josephus and Remya .S, The International Journal of Multimedia & Its Applications
Dibuat : 2012-07-02, dengan 1 file

Keyword : Adaptive histogram equalization,human visual system ,human vision thresholding,enhancement ,local content preservation.
Subjek : Energy Efficient, Scalable and Reliable MAC Protocol for Electromagnetic Communication among Nano Devices
Url : http://airccse.org/journal/jma/4112ijma08.pdf
Sumber pengambilan dokumen : Internet

There are several images that do not have uniform brightness which pose a challenging problem for image


enhancement systems. As histogram equalization has been successfully used to correct for uniform


brightness problems, a histogram equalization method that utilizes human visual system based


thresholding(human vision thresholding) as well as logarithmic processing techniques were introduced


later . But these methods are not good for preserving the local content of the image which is a major factor


for various images like medical and aerial images. Therefore new method is proposed here. This method


is referred as “Human vision thresholding with enhancement technique for dark blurred images for local


content preservation”. It uses human vision thresholding together with an existing enhancement method for


dark blurred images. Furthermore a comparative study with another method for local content preservation


is done which is further extended to make it suitable for contrast improvement . Experimental results shows


that the proposed methods outperforms the former existing methods in preserving the local content for


standard images ,medical and aerial images .

Deskripsi Alternatif :

There are several images that do not have uniform brightness which pose a challenging problem for image


enhancement systems. As histogram equalization has been successfully used to correct for uniform


brightness problems, a histogram equalization method that utilizes human visual system based


thresholding(human vision thresholding) as well as logarithmic processing techniques were introduced


later . But these methods are not good for preserving the local content of the image which is a major factor


for various images like medical and aerial images. Therefore new method is proposed here. This method


is referred as “Human vision thresholding with enhancement technique for dark blurred images for local


content preservation”. It uses human vision thresholding together with an existing enhancement method for


dark blurred images. Furthermore a comparative study with another method for local content preservation


is done which is further extended to make it suitable for contrast improvement . Experimental results shows


that the proposed methods outperforms the former existing methods in preserving the local content for


standard images ,medical and aerial images .

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