Fast computation of edge model representation for image sequence super-resolution

Authors:
Malay K. Nema;Subrata Rakshit;Subhasis Chaudhuri
Affiliations:
Computer Vision Group, CAIR, DRDO, Bangalore, India;Computer Vision Group, CAIR, DRDO, Bangalore, India;VIP Lab, Dept. of EE, IIT Bombay, Mumbai, India
Venue:
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Year:
2012

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Abstract

Edge model based representation of Laplacian subbands has been demonstrated to be useful in single frame high resolution image generation. A reconstruction based multiframe super-resolution algorithm yields a better super-resolved image if high resolution estimate of individual frame is given as input, instead of original low resolution frames. Fast computation of edge-model based representation enables fast single frame high resolution image generation for multiple frames and in turn helps in speeding up reconstruction based super resolution. In the present work, efficient multiframe edge model computation is achieved by computing edge model for the reference frame and then computing successive models by adapting it on the remaining frames.