This paper reports a statistical script identification technique that determines the script of document images, especially camera-based images which suffer from perspective distor...
We show that document image decoding (DID) supervised training algorithms, as a result of recent refinements, achieve high accuracy with low manual effort even under conditions o...
We propose a novel procedure for estimating blur in a single image corrupted by blur due to a rigid camera motion during the exposure. Often this blur is approximated as space inv...
This paper introduces a novel iterative approach to estimating local phase coherence in situations characterized by low signal-to-noise ratios. Local phase coherence is used for a...
In this paper, a new segmentation technique for multivalued images is elaborated. The technique accesses multiscale edge information of a multivalued image by a concept, called mu...