Technical Program

Paper Detail

Session:Image and Video Coding and Quality
Time:Friday, May 21, 15:30 - 17:30
Presentation: Poster
Topic: Image and Multidimensional Signal Processing: Image Quality
Authors: Keman Yu; Microsoft Research Asia 
 Cuizhu Shi; Microsoft Research Asia 
 Jiang Li; Microsoft Research Asia 
 Shipeng Li; Microsoft Research Asia 
Abstract: In videoconferencing, the image quality is significantly affected by the illumination condition. Unsatisfactory illumination conditions may lead to underexposure or overexposure of the area of interest, in particular a human face. To resolve this issue, we propose a solution to automatically improve image quality by correcting exposure and enhancing contrast. Our work is characterized by a method for automatically building a skin-color model and a novel contrast enhancement approach. Some techniques that can reduce the computational cost are also introduced. Experimental results show that obvious improvement in image quality is achieved while the computation overhead is very small. The proposed solution can be integrated into videoconferencing systems and is especially suitable for scenarios where low-complexity computing is required.

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