Video Enhancement using Non Subsampled Contourlet Transform and bilateral Filtering Techniques

Abstract: This paper introduces a new approach for video super resolution problem. To this end Compressive Sensing (CS) theory along with Non subsampled Contourlet transform has been used. In CS framework the signal is assumed to be sparse in a transform domain. An approach has been suggested using this fact in which Contourlet domain is used as the transform domain and a CS algorithm helps to find the high resolution frame. A post processing step is applied afterward to the estimated outputs to increase the quality. The post processing step consists of a de-blurring using bilateral filter for increasing the consistency. This method helps to relax the conditions on hardware and increase the quality of the video after capturing, in fact the quality of the video streams in consumer applications can be increased even the capturing device represents the scene in a low resolution format. Experimental results show significant improvement over existing super resolution methods in both objective and subjective quality.

Keywords: Frame separation, Bi-lateral filter, Non-Subsampled Contourlet Transform (CT), Bicubic Interpolation, Adaptive filter, Reconstruction.