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Luminance Adjustment in Image and Video

  • Conference paper
Advances in Multimedia Information Processing - PCM 2008 (PCM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5353))

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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.

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References

  1. Matsushita, Y., Ofek, E., Ge, W., Tang, X., Shum, H.-Y.: Full-frame video stabilization with motion inpainting. IEEE Transactions on Pattern Analysis and Machine Intelligence 28, 1150–1163 (2006)

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  2. Sen-Ching, S., Zhao, C.J., Venkatesh, M.V.: Efficient Object-Based Video Inpainting. In: 2006 IEEE International Conference on Image Processing, October 8-11, pp. 705–708 (2006)

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Author information

Authors and Affiliations

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

    Wen-Ju Tsai, Timothy K. Shih, Yuan-Yu Chao & Hsing-Ying Zhong

Authors
  1. Wen-Ju Tsai
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  2. Timothy K. Shih
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  3. Yuan-Yu Chao
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  4. Hsing-Ying Zhong
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Editor information

Editors and Affiliations

  1. Department of Engineering Science, National Cheng Kung University, No.1, University Road, 701, Tainan City, Taiwan

    Yueh-Min Ray Huang

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95, Zhongguancun East Road, 100190, Beijing, China

    Changsheng Xu

  3. Institute of Biomedical Engineering, National Cheng Kung University, No. 1, University Road, 701, Tainan City, Taiwan

    Kuo-Sheng Cheng

  4. Department of Electrical Engineering, National Cheng Kung University, No. 1, University Road, 701, Tainan City, Taiwan

    Jar-Ferr Kevin Yang

  5. Department of Electrical and Computer Engineering, Concordia University, S-EV005.139, 1515 St. Catherine West, Montreal, H4G 2W1, Quebec, Canada

    M. N. S. Swamy

  6. Microsoft Research Asia, 5/F, Beijing Sigma Center, No. 49, Zhichun Road, Hai Dian District, 100080, Beijing, China

    Shipeng Li

  7. Department of Information Management, National Kaohsiung University of Applied Sciences, No. 415, Jiangong Road, Sanmin District, 80778, Kaohsiung, Taiwan

    Jen-Wen Ding

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© 2008 Springer-Verlag Berlin Heidelberg

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Tsai, WJ., Shih, T.K., Chao, YY., Zhong, HY. (2008). Luminance Adjustment in Image and Video. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_99

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  • DOI: https://doi.org/10.1007/978-3-540-89796-5_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89795-8

  • Online ISBN: 978-3-540-89796-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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