Image Super-Resolution with Deep Convolutional Neural Network

Xiancai Ji; Yao Lu; Li Guo

doi:10.1109/dsc.2016.104

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JOURNAL ARTICLE

Image Super-Resolution with Deep Convolutional Neural Network

Xiancai Ji Yao Lu Li Guo

Year: 2016 Pages: 626-630

DOI: 10.1109/dsc.2016.104

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Abstract

We present a computational model for image super-resolution. Apart from using deep Convolutional Neural Network to map between the low-resolution images and high-resolution images, we adopt stepwise refinement method to improve the reconstruction results and introduce the back projection algorithm to avoid diffusion of error pixels.

Keywords:

Computer science Convolutional neural network Artificial intelligence Pixel Image resolution Image (mathematics) Computer vision Deep learning Iterative reconstruction Projection (relational algebra) Resolution (logic) Artificial neural network Pattern recognition (psychology) Algorithm

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Topics

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

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Image Super-Resolution with Deep Convolutional Neural Network

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