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Program

Date
Place
  • Room D (Room 322)
  • 18. Image Quality Enhancement and Metrology
  • August 19, 2015 (Wednesday)
  • 16:00 ~ 18:05
  • [18-3]
  • 16:50 ~ 17:05
  • Title:A Contrast Enhancement Algorithm Using Histogram Threshold and Dynamic Range Control
  • Tae Yeop Kim, Eun Hye Jo, Bo Hyun Hwang (Hanyang Univ., Korea), Gyu Hee Park (SK Telecom Co., Ltd., Korea), and Myung Ryul Choi (Hanyang Univ., Korea)

  • Abstract: Contrast enhancement techniques are widely used for improving the visual quality of low light level contrast images. Numerous Histogram Equalization(HE) had been proposed for preventing the over-enhancement and the false-contouring. This paper introduce three forms of HE way. In this paper, contrast enhancement algorithm is proposed by using the histogram threshold and the dynamic range control. The proposed algorithm automatically find the optimized parameters for preventing the dominant of high frequency of the histogram. The optimized histogram threshold is determined by using the standard deviation of the brightness of the image. Dynamic range control is realized by the optimized variation factor calculated by the average brightness of the image. This paper uses the infrared image. proposed algorithm has the improved visual quality and clearly identifies the object and background due to the histogram threshold. The proposed algorithm maintains the shape of the histogram of the original image and expands the dynamic range to fit the situation. Therefore, the proposed algorithm shows the effective contrast enhancement and preventing the over-enhancement and the false-contouring.

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