Quality Evaluation and Nonuniform Compression of Geometrically Distorted Images Using the Quadtree Distortion Map
EURASIP Journal on Advances in Signal Processing volume 2004, Article number: 470826 (2004)
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.
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Costa, C., De Natale, F.G. & Granelli, F. Quality Evaluation and Nonuniform Compression of Geometrically Distorted Images Using the Quadtree Distortion Map. EURASIP J. Adv. Signal Process. 2004, 470826 (2004). https://doi.org/10.1155/S1110865704402248