Adaptive fuzzy filter for reduction of blocking artifacts in images compressed with IDP decomposition

  • Authors:

  • Roumen Kountchev;Mariofanna Milanova;Vladimir Todorov;Roumiana Kountcheva

  • Affiliations:

  • Radiocommunications Dept., Technical University of Sofia, Sofia, Bulgaria;Computer Science Dept., University of Arkansas at Little Rock, AR;T&K Engineering, Sofia, Bulgaria;T&K Engineering, Sofia, Bulgaria

  • Venue:
  • ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
  • Year:
  • 2006

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Abstract

In the paper is offered a new approach for blocking artifacts reduction in still images, processed with 2-level IDP Inverse Difference Pyramid (IDP) decomposition, based on DCT and Walsh-Hadamard orthogonal transforms. For this purpose was developed a two-dimensional fuzzy digital filter, whose performance changes in accordance with the image contents, framed by the filter window, and depending on the compression ratio and the maximum approximation error, obtained in result of the IDP decomposition. The experimental results show, that the block artifacts in the restored images are reduced without visual deterioration of the image sharpness. The main advantages of the new filter are its low computational complexity and the ability for adaptation in accordance with the image contents. In the paper are presented the results of the filter performance on JPEG-compressed images. The advantages of the new filter and its abilities for quality improvement of images with blocking artifacts are presented.