articleIEEE Transactions on Consumer ElectronicsNov 1, 2007Closed access

Brightness Preserving Dynamic Histogram Equalization for Image Contrast Enhancement

Universiti Sains Islam Malaysia

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Abstract

Histogram equalization (HE) is one of the common methods used for improving contrast in digital images. However, this technique is not very well suited to be implemented in consumer electronics, such as television, because the method tends to introduce unnecessary visual deterioration such as the saturation effect. One of the solutions to overcome this weakness is by preserving the mean brightness of the input image inside the output image. This paper proposes a new method, known as brightness preserving dynamic histogram equalization (BPDHE), 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…

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Authors

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Topics & keywords

Keywords
  • Histogram equalization
  • Histogram matching
  • Adaptive histogram equalization
  • Brightness
  • Histogram
  • Image histogram
  • Artificial intelligence
  • Balanced histogram thresholding
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