Abstract
Scalable video coding (SVC) is a newly emerging standard to be finalized as an extension of H.264/AVC. The most attractive characters in SVC are the inter layer prediction techniques, such as Intra_BL mode. But in current SVC scheme, a uniform up-sampling filter (UUSF) is employed to magnify all components of an image, which will be very inefficient and result in a lot of redundant computational complexity. To overcome this, we propose an efficient component-adaptive up-sampling filter (CAUSF) for inter layer interpolation. In CAUSF, one character of human vision system is considered, and different up-sampling filters are assigned to different components. In particular, the six-tap FIR filter used in UUSF is kept and assigned for luminance component. But for chrominance components, a new four-tap FIR filter is used. Experimental results show that CAUSF maintains the performances of coded bit-rate and PSNR-Y without any noticeable loss, and provides significant reduction in computational complexity.
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Supported by China Postdoctoral Science Foundation (Grant No. 20080430454), the Key Laboratory of Geo-informatics of State Bureau of Surveying and Mapping (Grant No. 200834), the National High-Tech Research and Development Program of China (Grant No. 2007AA12Z151), and the National Basic Research Program of China (Grant No. 2006CB701303)
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Wang, Z., Zhang, J. & Li, H. Component-adaptive up-sampling for inter layer interpolation in scalable video coding. Sci. China Ser. F-Inf. Sci. 52, 704–711 (2009). https://doi.org/10.1007/s11432-009-0036-6
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DOI: https://doi.org/10.1007/s11432-009-0036-6