Novel Video Super Resolution Using Wavelet Transform and Key Frames/Motion Interpolation

摘要

Paper describes method that use intentional downsampling of the video sequence as part of the pre-processing step before being compressed, and the application of SR techniques as a post-processing of the compressed sequence. This scheme can be utilized as a bitrate control mechanism to optimize the overall quality of the high resolution (HR) reconstructed video. The main difference between the conventional super resolution (SR) methods and the SR for compression methods described here is that, in the latter case, the original sequence is available and, hence, the performance of the reconstruction can be evaluated. Par Key area of interest is in wireless and Real-time application, In this paper we presented a method to apply SR concepts and techniques in designing new video compression codecs. In this context, we propose a novel video decoding technique using SR. The proposed method downsample the all (not specific) picture frames of input video sequence and make low-resolution video sequence. And then encodes the low-resolution video sequence using H.264/MPEG-2. In decoding side first low resolution frame is converted to original resolution frame with a proposed SR method and other low resolution frames will be super resolved using novel motion interpolation technique or key framed based technique. This method will reduce the bit rate as compared to H.264/MPEG-2, since this method using h.264/mpeg-2 in spatially reduced video frames.