Image enhancement and post-processing for low-resolution compressed video

Abstract

This research paper recommends the PSF (Point Spread Function) prediction technique based on the POCS (Projection On to Convex Set) and regularization to acquire low resolution images. As the environment for the production of YouTube videos (one of the contents on the Internet) becomes widespread, resolution reduction and image distortion occurs, failing to satisfy users who desire high quality images. Accordingly, this research neutralizes the coding artifact through POCS and regularization processes by: 1) factoring the local characteristics of the image when it comes to the noise that results during the DCT and quantization process; and 2) removing the blocking and ring phenomena which are problems with existing video compression. Moreover, this research predicts the PSF in order to obtain low resolution images using the above--mentioned methods in order to suggest a method for minimizing the errors found among the predicted interpolation pixels. Low-resolution image quality obtained through the experiment demonstrates that significant enhancement was made on the visual level compared to the original image.