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Single image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction
- Publication Year :
- 2017
-
Abstract
- Image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction aims to recover detailed information from low-resolution images and reconstruct them into high-resolution images. Due to the limited amount of data and information retrieved from low-resolution images, it is difficult to restore clear, artifact-free images, while still preserving enough structure of the image such as the texture. This paper presents a new single image super-resolution method which is based on adaptive fractional-order gradient interpolation and reconstruction. The interpolated image gradient via optimal fractional-order gradient is first constructed according to the image similarity and afterwards the minimum energy function is employed to reconstruct the final high-resolution image. Fractional-order gradient based interpolation methods provide an additional degree of freedom which helps optimize the implementation quality due to the fact that an extra free parameter $\alpha$-order is being used. The proposed method is able to produce a rich texture detail while still being able to maintain structural similarity even under large zoom conditions. Experimental results show that the proposed method performs better than current single image super-resolution techniques.<br />Comment: 24 pages, 13 figures, it is to appear in ISA Transactions
- Subjects :
- FOS: Computer and information sciences
Computer Vision and Pattern Recognition (cs.CV)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Computer Science - Computer Vision and Pattern Recognition
Image processing
02 engineering and technology
Nearest-neighbor interpolation
Image texture
0202 electrical engineering, electronic engineering, information engineering
Image scaling
Computer vision
Electrical and Electronic Engineering
Instrumentation
Image gradient
Feature detection (computer vision)
Mathematics
Demosaicing
business.industry
Applied Mathematics
020207 software engineering
Stairstep interpolation
Computer Science Applications
Control and Systems Engineering
Computer Science::Computer Vision and Pattern Recognition
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....5a6a43189e243636bba6e1e496e0580e