Quality evaluation and nonuniform compression of geometrically distorted images using the quadtree distortion map

Authors:
Cristina Costa;Francesco G. B. De Natale;Fabrizio Granelli
Affiliations:
Department of Information and Communication Technology (DIT), University of Trento, Trento, Italy;Department of Information and Communication Technology (DIT), University of Trento, Trento, Italy;Department of Information and Communication Technology (DIT), University of Trento, Trento, Italy
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2004

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Abstract

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.