Multiple-image super-resolution on mobile devices: An image warping approach
College
College of Computer Studies
Department/Unit
Software Technology
Document Type
Article
Source Title
Eurasip Journal on Image and Video Processing
Volume
2017
Issue
1
Publication Date
12-1-2017
Abstract
This paper discusses a super-resolution (SR) system implemented on a mobile device. We utilized an Android device’s camera to take successive shots and applied a classical multiple-image super-resolution (SR) technique that utilized a set of low-resolution (LR) images. Images taken from the mobile device are subjected to our proposed filtering scheme wherein images that have noticeable presence of blur are discarded to avoid outliers from affecting the produced high-resolution (HR) image. The remaining subset of images are subjected to non-local means denoising, then feature-matched against the first reference LR image. Successive images are then aligned with respect to the first image via affine and perspective warping transformations. The LR images are then upsampled using bicubic interpolation. An L2-norm minimization approach, which is essentially taking the pixel-wise mean of the aligned images, is performed to produce the final HR image. Our study shows that our proposed method performs better than the bicubic interpolation, which makes its implementation in a mobile device quite feasible. We have also proven in our experiments that there are substantial differences from images captured using burst mode that can be utilized by an SR algorithm to create an HR image. © 2017, The Author(s).
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Digitial Object Identifier (DOI)
10.1186/s13640-016-0156-z
Recommended Citation
Del Gallego, N., & Ilao, J. P. (2017). Multiple-image super-resolution on mobile devices: An image warping approach. Eurasip Journal on Image and Video Processing, 2017 (1) https://doi.org/10.1186/s13640-016-0156-z
Disciplines
Computer Sciences | Software Engineering
Keywords
Image registration; Image processing—Digital techniques
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