• ISSN 0258-2724
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Volume 20 Issue 1
Feb.  2007
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Article Contents
LI Hengjian, YIN Zhongke, WANG Jianying. Image Sparse Decomposition Based on Quantum Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2007, 20(1): 19-23.
Citation: LI Hengjian, YIN Zhongke, WANG Jianying. Image Sparse Decomposition Based on Quantum Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2007, 20(1): 19-23.

Image Sparse Decomposition Based on Quantum Genetic Algorithm

  • Received Date: 15 Dec 2005
  • Publish Date: 25 Feb 2007
  • Based on the quantum genetic!algorithm(QGA)and the matching pursuit(MP),a fast image sparse decomposition algorithm was put forward to reduce the amount of calculation.QGA combining the genetic algorithm and the quantum information theory has a large search space with small population and a good global search capability,while image sparse decomposition based on MP is an optimal problem,so it can be fast solved by QGA.Simulation results show that the number of inner product between the image or its residual image and atoms is only 4 000 times in each calculaltion step,and the reconstructed image has fine visual quality.

     

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