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Modified Multipeak Histogram Equalization for Brightness Preserving Image Enhancement


     

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This paper proposes a new modified method, known as modified Multipeak histogram equalization (MMPHE), which is an extension to HE that can produce the output image with the mean intensity almost equal to the mean intensity of the input, thus fulfill the requirement of maintaining the mean brightness of the image. First, the method smoothes the input histogram with nearest neighborhood averaging filter, and then partitions the smoothed histogram based on its local maximums Next, each partition will be assigned to a new dynamic range. After that, the modified step added that is histogram normalization, after normalization, the histogram equalization process is applied independently to these partitions, based on this new dynamic range. For sure, the changes in dynamic range, and also histogram equalization process will maintain the mean brightness of the image. . Our results from 20 test images shows that this method performs well of other present mean brightness preserving histogram equalization methods.


Keywords

Image Contrast Enhancement, Histogram Equalization, Averaging Filter, Histogram Normalization, AMBE, ENTROPY, PSNR, Brightness Preserving Enhancement.
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  • Modified Multipeak Histogram Equalization for Brightness Preserving Image Enhancement

Abstract Views: 246  |  PDF Views: 1

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Abstract


This paper proposes a new modified method, known as modified Multipeak histogram equalization (MMPHE), which is an extension to HE that can produce the output image with the mean intensity almost equal to the mean intensity of the input, thus fulfill the requirement of maintaining the mean brightness of the image. First, the method smoothes the input histogram with nearest neighborhood averaging filter, and then partitions the smoothed histogram based on its local maximums Next, each partition will be assigned to a new dynamic range. After that, the modified step added that is histogram normalization, after normalization, the histogram equalization process is applied independently to these partitions, based on this new dynamic range. For sure, the changes in dynamic range, and also histogram equalization process will maintain the mean brightness of the image. . Our results from 20 test images shows that this method performs well of other present mean brightness preserving histogram equalization methods.


Keywords


Image Contrast Enhancement, Histogram Equalization, Averaging Filter, Histogram Normalization, AMBE, ENTROPY, PSNR, Brightness Preserving Enhancement.