DCT based high quality image compression

  • Authors:
  • Nikolay Ponomarenko;Vladimir Lukin;Karen Egiazarian;Jaakko Astola

  • Affiliations:
  • Department 504, National Aerospace University (Kharkov Aviation Institute), Kharkov, Ukraine;Department 504, National Aerospace University (Kharkov Aviation Institute), Kharkov, Ukraine;Tampere International Center for Signal Processing, Tampere University of Technology, Tampere, Finland;Tampere International Center for Signal Processing, Tampere University of Technology, Tampere, Finland

  • Venue:
  • SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
  • Year:
  • 2005

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Abstract

DCT based image compression using blocks of size 32x32 is considered. An effective method of bit-plane coding of quantized DCT coefficients is proposed. Parameters of post-filtering for removing of blocking artifacts in decoded images are given. The efficiency of the proposed method for test images compression is analyzed. It is shown that the proposed method is able to provide the quality of decoding images higher than for JPEG2000 by up to 1.9 dB.