Multiframe image superresolution based on cepstral analysis

Chopade, Pravin B.; Patil, Pradeep M.

doi:10.1007/s11760-018-1346-1

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Cepstrum Analysis For a Motion-blurred Image1

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2020

2023

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Cited by 2 publications

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“…The cepstrum of a blurred image g (x, y) is defined as the inverse Fourier transform of its logarithmic spectrum, which can be given as [23][24][25]…”

Section: Cepstrum Analysis For a Motion-blurred Imagementioning

confidence: 99%

A motion-blurred restoration method for surface damage detection of wind turbine blades

Cava

2023

Measurement

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“…The cepstrum of a blurred image g (x, y) is defined as the inverse Fourier transform of its logarithmic spectrum, which can be given as [23][24][25]…”

Section: Cepstrum Analysis For a Motion-blurred Imagementioning

confidence: 99%

A motion-blurred restoration method for surface damage detection of wind turbine blades

Cava

2023

Measurement

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Arbitrary Back-Projection Networks for Image Super-Resolution

Tian

2020

Int. J. Comp. Intel. Appl.

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Recently, a method called Meta-SR has solved the problem of super-resolution of arbitrary scale factor with only one single model. However, it has a limited reconstruction accuracy compared with RDN[Formula: see text] and EDSR[Formula: see text]. Inspired by Meta-SR, we noticed that by combining the core idea of Meta-SR and D-DBPN, we might construct a network that has as good image reconstruction accuracy as D-DBPN’s, at the same time, keeps arbitrary scaling function. According to Meta-SR’s Meta-Upscale Module, we designed a different structure called Meta-Downscale Module. By using these two different modules and back-projection structure, we construct an arbitrary back-projection network, which has the ability to enlarge images with arbitrary scale factor by using only one single model, meanwhile, obtains state-of-the-art reconstruction results. Through extensive experiments, our proposed method performs better reconstruction effect than Meta-SR and more efficient than D-DBPN. Besides that, we also evaluated the proposed method on widely used benchmark dataset on single image super-resolution. The experimental results show the superiority of our model compared to RDN+ and EDSR+.

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Multiframe image superresolution based on cepstral analysis

Cited by 2 publications

References 23 publications

A motion-blurred restoration method for surface damage detection of wind turbine blades

A motion-blurred restoration method for surface damage detection of wind turbine blades

Arbitrary Back-Projection Networks for Image Super-Resolution

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