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- W51327274 abstract "Histogram Equalization (HE) based methods are the commonly used image enhancement techniques to improve the contrast of an input image by changing the intensity level of the pixels, based on its intensity distribution. This paper presents a novel image contrast and edge enhancement technique using constrained histogram equalization. A new transformation function for histogram equalization is devised and a set of constraints are applied over the histogram of an image prior to the equalization process and then, unsharp masking is applied on the resultant image. The proposed method ensures better contrast and edge enhancement, which is measured in terms of discrete entropy." @default.
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- W51327274 date "2011-01-01" @default.
- W51327274 modified "2023-09-24" @default.
- W51327274 title "Image Edge and Contrast Enhancement Using Unsharp Masking and Constrained Histogram Equalization" @default.
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- W51327274 doi "https://doi.org/10.1007/978-3-642-19263-0_16" @default.
- W51327274 hasPublicationYear "2011" @default.
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