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Image Super-Resolution Using TV Priori Guided Convolutional Network

Multimedia 2018-10-30 v1

Abstract

We proposed a TV priori information guided deep learning method for single image super-resolution(SR). The new alogorithm up-sample method based on TV priori, new learning method and neural networks architecture are embraced in our TV guided priori Convolutional Neural Network which diretcly learns an end to end mapping between the low level to high level images.

Keywords

Cite

@article{arxiv.1810.11801,
  title  = {Image Super-Resolution Using TV Priori Guided Convolutional Network},
  author = {Bo Fu and Yi Li and Xianghai Wang},
  journal= {arXiv preprint arXiv:1810.11801},
  year   = {2018}
}

Comments

This paper is underviewring in Journal of Pattern Recognition Letters

R2 v1 2026-06-23T04:54:54.834Z