Dynamic Contrast Enhancement Using Multiple and Clipped Histogram Equalization

نویسندگان

  • Yongliang Chen
  • Huabin Wang
  • Liang Tao
چکیده

Histogram equalization (HE) is one of the common methods for improving contrast in digital images. However, HE may introduce some unnecessary visual deterioration while enhancing image. One of the solutions to overcome this weakness is by preserving the mean brightness of the output image. This paper proposes a new method, known as dynamic contrast enhancement using multiple and clipped histogram equalization (DCMHE). The proposed method first smoothes the global histogram and assigns each partition to a new dynamic range via optimal thresholds, and then clipping process is implemented to each sub-histogram. At last step, the conventional HE is implemented to each sub-histogram and the output image is normalized to the input mean brightness. Simulation results for several test images show that the proposed method enhances the contrast while preserving mean brightness. Copyright © 2013 IFSA.

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تاریخ انتشار 2013