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• W2075236982 startingPage "353" @default.
• W2075236982 abstract "Histogram Equalization (HE) is a simple and effective image enhancement technique.But, it tends to change the mean brightness of the image to the middle level of the permitted range, and hence is not a very suitable for consumer product. While preserving the original brightness is essential to avoid annoying artefacts. To preserve brightness and to enhance contrast of images, numerous methods are introduced, but many of them present unwanted artefacts such as intensity saturation, over-enhancement and noise amplification. In the present paper, available histogram equalization based methods are reviewed and compared with image quality measurement (IQM)tools such as Absolute Mean Brightness Error (AMBE) to assess brightness preserving and Peak Signal-to-Noise Ratio (PSNR) to evaluate contrast enhancement." @default.
• W2075236982 created "2016-06-24" @default.
• W2075236982 creator A5042582946 @default.
• W2075236982 creator A5047994294 @default.
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• W2075236982 date "2013-10-31" @default.
• W2075236982 modified "2023-09-23" @default.
• W2075236982 title "A Comparative Analysis of Histogram Equalization based Techniques for Contrast Enhancement and Brightness Preserving" @default.
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• W2075236982 doi "https://doi.org/10.14257/ijsip.2013.6.5.31" @default.
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