Single-image super-resolution using orthogonal rotation invariant moments

Chandan Singh; Ashutosh Aggarwal

doi:10.1016/j.compeleceng.2017.02.009

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Single-image super-resolution using orthogonal rotation invariant moments

Chandan Singh Ashutosh Aggarwal

Year: 2017 Journal: Computers & Electrical Engineering Vol: 62 Pages: 266-280 Publisher: Elsevier BV

DOI: 10.1016/j.compeleceng.2017.02.009

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Keywords:

Invariant (physics) Mathematics Rotation (mathematics) Velocity Moments Computer vision Artificial intelligence Computer science Physics Geometry Optics Mathematical physics Zernike polynomials

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Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Single-image super-resolution using orthogonal rotation invariant moments

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