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A complete image compression scheme based on overlapped block transform with post-processing

  • C. Kwan
  • , B. Li
  • , R. Xu
  • , X. Li
  • , T. Tran
  • , T. Nguyen
  • Intelligent Automation Inc
  • Arizona State University
  • IEEE
  • Johns Hopkins University
  • University of California at San Diego

科研成果: 期刊稿件文章同行评审

12 引用 (Scopus)

摘要

A complete system was built for high-performance image compression based on overlapped block transform. Extensive simulations and comparative studies were carried out for still image compression including benchmark images (Lena and Barbara), synthetic aperture radar (SAR) images, and color images. We have achieved consistently better results than three commercial products in the market (a Summus wavelet codec, a baseline JPEG codec, and a JPEG-2000 codec) for most images that we used in this study. Included in the system are two post-processing techniques based on morphological and median filters for enhancing the perceptual quality of the reconstructed images. The proposed system also supports the enhancement of a small region of interest within an image, which is of interest in various applications such as target recognition and medical diagnosis.

源语言英语
文章编号10968
期刊Eurasip Journal on Applied Signal Processing
2006
DOI
出版状态已出版 - 2006
已对外发布

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