human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Deep Convolutional Neural Network for Image Deconvolution"):
  Abstract: Many fundamental image-related problems involve deconvolution operators. Real blur degradation seldom complies with an ideal linear convolution model due to camera noise, saturation, image compression, to name a few. Instead of perfectly modeling outliers, which is rather challenging from a generative model perspective, we develop a deep convolutional neural network to capture the characteristics of degradation. We note directly applying existing deep neural networks does not produce reasonable results. Our solution is to establish the connection between traditional optimization-based schemes and a neural network architecture where a novel, separable structure is introduced as a reliable support for robust deconvolution against artifacts. Our network contains two submodules, both trained in a supervised manner with proper initialization. They yield decent performance on non-blind image deconvolution compared to previous generative-model based methods.

Includes members:
  Member "Image Denoising and Inpainting with Deep Neural Networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Unsupervised Class-Specific Deblurring")
  Member "Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Image Denoising and Inpainting with Deep Neural Networks")
  Member "Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement":
    also connected through other hyperedges:
      (none)

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science