A novel image coding method with visual cortical model

  • Authors:
  • Rongchang Zhao;Yide Ma

  • Affiliations:
  • School of Information Science & Engineering, Lanzhou University;School of Information Science & Engineering, Lanzhou University

  • Venue:
  • AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
  • Year:
  • 2011

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Abstract

To attain a high compression ratio and high-quality reconstructed images, an irregular segmented region coding algorithm is developed. An novel segmentation algorithm using spiking cortical model is applied to partition an image into irregular regions and tidy contours, the crucial regions corresponding to objects in scene are retained and a lot of tiny parts are merged. The experimental results show higher quality reconstructed images and less time consuming under higher compression ratio.