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Cited by 784

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Deep Networks for Image Super-Resolution with Sparse Prior

Open access
Wang, Zhaowen, Liu, Ding, Yang, Jianchao, Han, Wei, Huang, Thomas·2015·2015 IEEE International Conference on Computer Vision (ICCV)
DOI 10.1109/iccv.2015.50
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Abstract

Deep learning techniques have been successfully applied in many areas of computer vision, including low-level image restoration problems. For image super-resolution, several models based on deep neural networks have been recently proposed and attained superior performance that overshadows all previous handcrafted models. The question then arises whether large-capacity and data-driven models have become the dominant solution to the ill-posed super-resolution problem. In this paper, we argue that domain expertise represented by the conventional sparse coding model is still valuable, and it can be combined with the key ingredients of deep learning to achieve further improved results. We show that a sparse coding model particularly designed for super-resolution can be incarnated as a neural network, and trained in a cascaded structure from end to end. The interpretation of the network based on sparse coding leads to much more efficient and effective training, as well as a reduced model size. Our model is evaluated on a wide range of images, and shows clear advantage over existing state-of-the-art methods in terms of both restoration accuracy and human subjective quality.

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Show all 5 references

Research works printed but not linked: 34

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Metadata

Authors
Wang, Z., Liu, D., Yang, J., Han, W., & Huang, T.
Venue
2015 IEEE International Conference on Computer Vision (ICCV)
Publisher
IEEE
Published
2015-12
Pages
370-378
DOI
10.1109/iccv.2015.50
OpenAlex
W1919542679
Cited by
784
References
5
FWCI
35.33
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Deep Networks for Image Super-Resolution with Sparse Prior. https://app.cochat.ai/papers/10.1109/iccv.2015.50
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Wang, Z., Liu, D., Yang, J., Han, W., & Huang, T. (2015). Deep Networks for Image Super-Resolution with Sparse Prior. 2015 IEEE International Conference on Computer Vision (ICCV). https://doi.org/10.1109/iccv.2015.50

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