Journal:IEEE International Conference on Image Processing (ICIP)

Key Words:Sparse Modelling Restricted Boltzmann Machine Image Super-resolution Dictionary Learning

Abstract:Image super-resolution means forming high-resolution images from low-resolution images. In this paper, we develop a new approach based on the deep Restricted Boltzmann Machines (RBM) for image super-resolution. The RBM architecture has ability of learning a set of visual patterns, called dictionary elements from a set of training images. The learned dictionary will be then used to synthesize high resolution images. We test the proposed algorithm on both benchmark and natural images, comparing with several other techniques. The visual quality of the results has also been assessed by both human evaluation and quantitative measurement.

Co-author:Yi Guo,Ming Yin

First Author:Junbin Gao

Indexed by:会议论文

Page Number:2013, p: 499-503. (CCF C类会议)

Translation or Not:no

Date of Publication:2013-09-13