학술논문

Combined Sparsifying Transforms for Compressive Image Fusion
Document Type
article
Source
Advances in Electrical and Computer Engineering, Vol 13, Iss 4, Pp 79-84 (2013)
Subject
compressive sensing
combined sparsifying transforms
image fusion
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Computer engineering. Computer hardware
TK7885-7895
Language
English
ISSN
1582-7445
1844-7600
Abstract
In this paper, we present a new compressive image fusion method based on combined sparsifying transforms. First, the framework of compressive image fusion is introduced briefly. Then, combined sparsifying transforms are presented to enhance the sparsity of images. Finally, a reconstruction algorithm based on the nonlinear conjugate gradient is presented to get the fused image. The simulations demonstrate that by using the combined sparsifying transforms better results can be achieved in terms of both the subjective visual effect and the objective evaluation indexes than using only a single sparsifying transform for compressive image fusion.