Luminance adjustment in image and video

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


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.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings
Number of pages4
StatePublished - 2008
Event9th Pacific Rim Conference on Multimedia, PCM 2008 - Tainan, Taiwan
Duration: 9 Dec 200813 Dec 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5353 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th Pacific Rim Conference on Multimedia, PCM 2008


  • Average intensity
  • Histogram equalization
  • Intensity
  • Luminance


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