Super-resolution and frame interpolation enhance low resolution low-framerate videos. Such techniques are especially important for limited bandwidth communications. This paper proposes a novel technique to up-scale videos compressed with H.264 at low bit-rate both in spatial and temporal dimensions. A quantisation noise model is used in the super-resolution estimator, designed for low bitrate video, and a weighting map for decreasing inaccuracy of motion estimation are proposed. Results show improvement both in rate-distortion and perceived image quality.
|Translated title of the contribution||Spatiotemporal super-resolution for low bitrate H.264 video|
|Title of host publication||IEEE International Conference on Image Processing|
|Pages||2809 - 2812|
|Number of pages||4|
|Publication status||Published - 26 Sep 2010|