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Super-resolution of video using key frames and motion estimation

9 years 5 months ago
Super-resolution of video using key frames and motion estimation
Many scalable video coding systems use frame downsampling in order to reduce complexity and to enable enhancement layers. Super-resolution (SR) can be used to help the up-sampling and recovering processes of those frames. We are interested in reversed-complexity (distributed) coding methods, wherein few key frames are encoded at normal resolution, while the rest are downsampled and encoded at reduced resolution along with the enhancement layers. We are only interested on the decoder side, wherein we carry motion estimation of the downsampled frames using the key frames as references. When a match is made, the high-frequency components of the key frames (KF) are used to super-resolve the non-key frames (NKF). The motion estimation process is performed using blocks of band-pass versions of the frames, rather than lowpass ones. Results indicate the improved performance of the proposed super-resolution algorithm.
Fernanda Brandi, Ricardo L. de Queiroz, Debargha M
Added 20 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors Fernanda Brandi, Ricardo L. de Queiroz, Debargha Mukherjee
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