Journal of Electronics (China)

, Volume 25, Issue 3, pp 405–408 | Cite as

BFA based neural network for image compression

Article

Abstract

A novel Bacterial Foraging Algorithm (BFA) based neural network is presented for image compression. To improve the quality of the decompressed images, the concepts of reproduction, elimination and dispersal in BFA are firstly introduced into neural network in the proposed algorithm. Extensive experiments are conducted on standard testing images and the results show that the proposed method can improve the quality of the reconstructed images significantly.

Key words

Bacterial Foraging Algorithm (BFA) Artificial Neural Network (ANN) Back Propagation (BP) Image compression 

CLC index

TP391.41 

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Copyright information

© Science Press 2008

Authors and Affiliations

  • Ying Chu
    • 1
  • Hua Mi
    • 1
  • Zhen Ji
    • 1
  • Zibo Shao
    • 2
  • Q. H. Wu
    • 3
  1. 1.TI DSPs Lab, Faculty of Information EngineeringShenzhen UniversityShenzhenChina
  2. 2.Department of Electronic & Electrical EngineeringUniversity College LondonLondonUK
  3. 3.Department of Electrical Engineering & ElectronicsThe University of LiverpoolLiverpoolUK

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