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An analysis of the local histogram equalization algorithm is presented. An adaptation of the algorithm is suggested that involves varying the window size over different regions of the image. This enables each region to be enhanced equally. The algorithm has a parameter, S. to control the amount of stretching required. Some results are presented and analysed
The most noteworthy conclusion of image processing is a contrast enhancement. The most regular syste...
In this paper I have described histogram expansion. Histogram expansion is a technique of histogram ...
AbstractThe conventional histogram equalization algorithm is easy causing information loss. The pape...
Four algorithms that modify the histogram equalization algorithm, and extend its capability to a lar...
The histogram equalization (HE) method is widely used for image contrast enhancement. While it can e...
Histogram Equalization (HE) and its variations have been widely used in image enhancement. Even thou...
Abstract- Histogram equalization is a technique of improving the global contrast of an image by adju...
[[abstract]]Histogram equalization (HE) is a widely used contrast enhancement (CE) method in image p...
In order to enhance the contrast in the regions where the pixels have similar intensities, this pape...
Histogram equalization is a technique to enhance the contrast of the image by redistributing the his...
Histogram Equalization is one of the technique most commonly used in contrast enhancement. it tends...
A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enha...
The most significant outcome of image processing is a contrast enhancement. The most usual method of...
Abstract—A process of improve quality of a digitally stored image by manipulating the image with var...
Image contrast enhancement techniques can be used in various image processing applications. There ar...
The most noteworthy conclusion of image processing is a contrast enhancement. The most regular syste...
In this paper I have described histogram expansion. Histogram expansion is a technique of histogram ...
AbstractThe conventional histogram equalization algorithm is easy causing information loss. The pape...
Four algorithms that modify the histogram equalization algorithm, and extend its capability to a lar...
The histogram equalization (HE) method is widely used for image contrast enhancement. While it can e...
Histogram Equalization (HE) and its variations have been widely used in image enhancement. Even thou...
Abstract- Histogram equalization is a technique of improving the global contrast of an image by adju...
[[abstract]]Histogram equalization (HE) is a widely used contrast enhancement (CE) method in image p...
In order to enhance the contrast in the regions where the pixels have similar intensities, this pape...
Histogram equalization is a technique to enhance the contrast of the image by redistributing the his...
Histogram Equalization is one of the technique most commonly used in contrast enhancement. it tends...
A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enha...
The most significant outcome of image processing is a contrast enhancement. The most usual method of...
Abstract—A process of improve quality of a digitally stored image by manipulating the image with var...
Image contrast enhancement techniques can be used in various image processing applications. There ar...
The most noteworthy conclusion of image processing is a contrast enhancement. The most regular syste...
In this paper I have described histogram expansion. Histogram expansion is a technique of histogram ...
AbstractThe conventional histogram equalization algorithm is easy causing information loss. The pape...
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