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Research on image restoration algorithms

Qingqing Fu

Open publisher page 2 citations

Abstract

Several classical image restoration algorithms are studied.In the case of knowing the model of the image degradation,the observed images are restored using inverse filtering,Wiener filtering and constrained least squares filtering algorithm.A wealth of empirical data on the parameter selection of the above algorithms is obtained,and the experimental results are analyzed and summarized.

About this research paper

What this paper is about

Several classical image restoration algorithms are studied.In the case of knowing the model of the image degradation,the observed images are restored using inverse filtering,Wiener filtering and constrained least squares filtering algorithm.A wealth of empirical data on the parameter selection of the above algorithms is obtained,and the experimental results are analyzed and summarized.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

Several classical image restoration algorithms are studied.In the case of knowing the model of the image degradation,the observed images are restored using inverse filtering,Wiener filtering and constrained least squares filtering algorithm.A wealth of empirical data on the parameter selection of the above algorithms is obtained,and the experimental results are analyzed and summarized.

Key concepts: Image restoration, Image (mathematics), Computer science, Algorithm, Inverse, Selection (genetic algorithm), Wiener filter, Degradation (telecommunications)

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