Luminance Adjustment in Image and Video

  • Authors:

  • Wen-Ju Tsai;Timothy K. Shih;Yuan-Yu Chao;Hsing-Ying Zhong

  • Affiliations:

  • Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan;Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan;Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan;Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan

  • Venue:
  • PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
  • Year:
  • 2008

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Abstract

It is a important issue that luminance coherent in the sequence video. After adjusting in the video, and then we can see the clearly image with accordant luminance. In addition, inpainting the intensity in image or video, the image will display the new intensity. We can see the image different and get better than original intensity. Moreover, we maybe also adjust intensity contrast, make sure the detail color and luminance appear same coordinate color. In these issue, we try to use average intensity to solve luminance in video. We can calculate the middle intensity with the frames average intensity, and then we get the threshold help us for fixing the image intensity. And we can use histogram and tensor voting to solve luminance difference in image. We will show the experiment in this research. Then, we will compare these two methods, the result in histogram and tensor voting.