Abstract-- This paper addresses the problem of matting motion blurred objects from a single image. Existing single-image matting methods are designed to extract static objects that...
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
In this paper, we address the issue of underdetermined source separation of non-stationary audio sources from a stereo (i.e. 2-channel) linear instantaneous mixture. This problem ...
Hyperspectral unmixing is a process of extracting hidden spectral signatures (or endmembers) and the corresponding proportions (or abundances) of a scene, from its hyperspectral o...
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...