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Shao et al., 2022 - Google Patents

A Geometric View to Reweighted Graph Total Variation Blind Deconvoluton: Making It Faster and Better

Shao et al., 2022

Document ID
4581090095507681569
Author
Shao W
Li J
Luo W
Liu M
Deng H
Publication year
Publication venue
2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

External Links

Snippet

It is known image priors are essential to blind deconvolution. Reweighted graph total variation (RGTV), as a new prior to substitute the most classic TV, is shown superior to TV as well as several other state-of-the-art models in terms of both theoretical and empirical …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
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    • G06T2207/10024—Color image
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    • G06T5/001—Image restoration
    • G06T5/002—Denoising; Smoothing
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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