A spatiotemporal super-resolution algorithm for a hybrid stereo video system |
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| Authors: | Jing Ge Ju Liu Hui Yuan Chuan Ge Boyang Zhang |
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| Affiliation: | 1.School of Information Science and Engineering,Shandong University,Jinan,China;2.Hisense State Key Laboratory of Digital Multi-Media Technology,Qingdao,China;3.Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai,China;4.China Mobile Group Shandong Company Limited,Jinan,China |
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| Abstract: | This paper presents a spatiotemporal super-resolution method to enhance both the spatial resolution and the frame rate in a hybrid stereo video system. In this system, a scene is captured by two cameras to form two videos, including a low spatial resolution with high-frame-rate video and a high spatial resolution with low-frame-rate video. For the low-spatial-resolution video, the low-resolution frames are spatially super-resolved by the high-resolution video via the stereo matching, the bilateral overlapped block motion estimation, and the adaptive overlapped block motion compensation algorithms, while for the low-frame-rate video, those missed frames are interpolated using the high-resolution frames obtained by fusing the disparity compensation and the motion compensation frame rate up-conversion. Experimental results demonstrate that the proposed mixed spatiotemporal super-resolution method has a more significant contribution to both the subjective and objective qualities than the pure spatial super-resolution or the frame rate up-conversion. |
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