Title :
Adaptive Local Illumination Change Compensation Method for H.264/AVC-Based Multiview Video Coding
Author :
Hur, Jae-Ho ; Cho, Sukhee ; Lee, Yung-Lyul
Author_Institution :
Sejong Univ., Seoul
Abstract :
In multiview video, illumination changes can occur due to imperfect camera calibration and variations of the camera position and direction. These characteristics can cause performance degradation in multiview video coding (MVC) that uses inter-view prediction by referring to the pictures obtained from the neighboring views. In order to overcome this problem, an adaptive local illumination change compensation method is proposed. In the proposed method, we compensate for the illumination changes in the macroblock (MB) unit between the current picture and the reference picture under the assumption that the DC component in the MB is influenced by the local illumination changes. By using the proposed method, the compression ratio in the multiview video coding was increased, and a 0.1~0.6 dB peak signal-to-noise ratio (PSNR) improvement was obtained compared with the case where the proposed method was not used.
Keywords :
image matching; video coding; H.264/AVC-based multiview video coding; adaptive local illumination change compensation method; imperfect camera calibration; inter-view prediction; mean-removed sum of absolute differences; performance degradation; signal-to-noise ratio; Automatic voltage control; Calibration; Cameras; Degradation; IEC standards; ISO standards; Lighting; Motion estimation; PSNR; Video coding; Block matching algorithm (BMA); H.264/AVC; illumination change compensation; inter-view prediction; mean- removed sum of absolute differences (MRSAD); multiview video coding (MVC);
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
DOI :
10.1109/TCSVT.2007.903774