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ICMCS
2007
IEEE

Learning-Based Perceptual Image Quality Improvement for Video Conferencing

9 years 1 months ago
Learning-Based Perceptual Image Quality Improvement for Video Conferencing
It is well known that in professional TV show filming, stage lighting has to be carefully designed in order to make the host and the scene look visually appealing. The lighting affects not only the brightness but also the color tone which plays a critical role in the perceived look of the host and the mood of the stage. In contrast, during video conferencing, the lighting is usually far from ideal thus the perceived image quality is low. There has been a lot of research on improving the brightness of the captured images. In this paper, we propose a learning-based technique to improve the perceptual image quality by enhancing both brightness and color tone. The basic idea is to learn the color statistics from a training set of images which look visually appealing, and adjust the color of an input image so that its color statistics matches those in the training set. To validate our approach, we have conducted user study and the results show that our technique significantly improves th...
Zicheng Liu, Cha Zhang, Zhengyou Zhang
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ICMCS
Authors Zicheng Liu, Cha Zhang, Zhengyou Zhang
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