Performance Investigation on Bilateral Filter with Confidence Based over Spatial Correlation-based Optical Flow for Image Reconstruction

Abstract

Optical flow in image sequences gives essential data on motion structure. It is relevant in several areas such as robot vision, video coding, and super resolution reconstruction. Even though this realm has been concentrated for more than a decade, reduction the glitch in estimation stands a difficult trouble. Many techniques were proposed to enhance the performance and one of the most is bilateral filter. This paper presents the performance study of bilateral filter and bilateral filter together with confidence based over spatial correlationbased optical flow where the quality of the reconstructed images from the result of motion vector is highly focused. We perform an experiment over several standard sequences with several noise levels in contamination to study the robustness of each robust technique and used PSNR as an indicator.