Improved Compressed Sensing Image Reconstruction Method

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 238)

Abstract

In order to improve the accuracy of noise image reconstruction method, an algorithm which is based on compressed sensing theory’s Gradient Projection for Sparse Reconstruction is proposed. The image signals are sparse by introducing the wavelet theory. With the Gaussian random matrix, the images signals are been measured, and then the Gradient Projection for Sparse Reconstruction is used to reconstruct image. Experiment results show that the method improves the image reconstruction accuracy and the image reconstruction quality as much as possible compared with the traditional MALLAT reconstruction algorithm. And research of compressed sensing image reconstruction method can effectively solve the image reconstruction accuracy question.

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.JiLin UniversityChangchunChina
  2. 2.Changchun Institute of Optics, Fine Mechanics and PhysicsThe Chinese Academy of SciencesChangchunChina

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