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A framework for evaluating the quality of lossy image compression

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Haber,  Jörg
Computer Graphics, MPI for Informatics, Max Planck Society;

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Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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MPI-I-1999-4-001.pdf
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Citation

Haber, J., & Seidel, H.-P.(1999). A framework for evaluating the quality of lossy image compression (MPI-I-1999-4-001). Saarbrücken: Max-Planck-Institut für Informatik.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-6F38-D
Abstract
In this research report we present a framework for evaluating and comparing the quality of various lossy image compression techniques based on a multiresolution decomposition of the image data. In contrast to many other publications, much attention is paid to the interdependencies of the individual steps of such compression techniques. In our result section we are able to show that it is quite worthwile to fine-tune the parameters of every step to obtain an optimal interplay among them, which in turn leads to a higher reconstruction quality.