EURASIP Journal on Advances in Signal Processing (Sep 2004)

Quality Evaluation and Nonuniform Compression of Geometrically Distorted Images Using the Quadtree Distortion Map

  • Cristina Costa,
  • Francesco G. B. De Natale,
  • Fabrizio Granelli

DOI
https://doi.org/10.1155/S1687617204402248
Journal volume & issue
Vol. 2004, no. 12
pp. 1899 – 1911

Abstract

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The paper presents an analysis of the effects of lossy compression algorithms applied to images affected by geometrical distortion. It will be shown that the encoding-decoding process results in a nonhomogeneous image degradation in the geometrically corrected image, due to the different amount of information associated to each pixel. A distortion measure named quadtree distortion map (QDM) able to quantify this aspect is proposed. Furthermore, QDM is exploited to achieve adaptive compression of geometrically distorted pictures, in order to ensure a uniform quality on the final image. Tests are performed using JPEG and JPEG2000 coding standards in order to quantitatively and qualitatively assess the performance of the proposed method.

Keywords