In this paper, we consider a low complexity identification system for highly distorted images. The performance of the proposed identification system is analyzed based on the avera...
We introduce a new concept for accelerating realistic image synthesis algorithms. At the core of this procedure is a novel physical error metric that correctly predicts the percep...
Mahesh Ramasubramanian, Sumanta N. Pattanaik, Dona...
Inspired by multi-scale tensor voting, a computational framework for perceptual grouping and segmentation, we propose an edge-directed technique for color image superresolution gi...
Abstract Image alignment in the presence of non-rigid distortions is a challenging task. Typically, this involves estimating the parameters of a dense deformation field that warps...
This paper presents a language identification technique that differentiates Latin-based languages in degraded and distorted document images. Different from the reported methods tha...