AN IMPROVED IMAGE SPARSE DECOMPOSITION ALGORITHM
Journal Title: Topics in Intelligent Computing and Industry Design (ICID) - Year 2017, Vol 1, Issue 2
Abstract
Sparse decomposition is developed in recent years, the signal and image processing tools, signals and images can be decomposed into a very simple form of expression. Image compression technology in the image processing has an important role, is widely used in various fields of image processing. At present, commonly used image compression techniques are usually based on orthogonal transformation, but in low bit rate conditions, this approach often cannot get the desired recovery effect. In order to solve this problem, this paper proposes a particle swarm optimization (PSO) algorithm to improve the speed of image sparse decomposition by selecting suboptimal atoms instead of the best atoms from the complete library
Authors and Affiliations
Teng Haikun, Lu Jinga, Liu Xinsheng
Keywords
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- EP ID EP409394
- DOI 10.26480/icie.01.2017.170.173
- Views 64
- Downloads 0
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