Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tr...
If motion estimation can choose the most suitable algorithm according to the changing characteristics of input image signals, we can get benefits, which improve quality and perfor...
We propose a novel method to reduce both blocking and ringing artifacts in compressed images and videos. Based on the directional characteristics of ringing artifacts along edges,...
Dung Trung Vo, Truong Q. Nguyen, Sehoon Yea, Antho...
We propose a directional fuzzy lter to enhance the quality of compressed video sequences. A motion compensated spatiotemporal lter (MCSTF) is applied to intra-frame and inter-fram...