A wavelet constrained POCS supperresolution algorithm for high resolution image reconstruction from video sequence

Research interest in multi-frame supperresolution has risen substantially in recent years. Most methods developed deal with operations working directly in the image domain. This paper presents a wavelet-domain superresolution method based on the projection on to convex set (POCS) technique. An iterative procedure is utilized to extract information hidden in a group of video frames to update the wavelet coefficients. Since these coefficients correspond to the high frequency information in the spatial domain, the extracted fine features from other frames augment the individual low-resolution image to a superresolution image. The effectiveness of the algorithm is demonstrated by experimental results.