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Yeganli et al., 2016 - Google Patents

Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation

Yeganli et al., 2016

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Document ID
13473858080668724267
Author
Yeganli F
Nazzal M
Ozkaramanli H
Publication year
Publication venue
2016 24th Signal Processing and Communication Application Conference (SIU)

External Links

Snippet

In this paper we present an extension to the algorithm of super-resolution via selective sparse representation over a set of coupled low and high resolution cluster dictionary pairs. Patch clustering and sparse model selection are carried out using the magnitude and phase …
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Classifications

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    • 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
    • G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
    • G—PHYSICS
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