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 "A Decomposition Framework for Image Denoising Algorithms"):
  Abstract: In this paper, we consider an image decomposition model that provides a novel framework for image denoising. The model computes the components of the image to be processed in a moving frame that encodes its local geometry (directions of gradients and level lines). Then, the strategy we develop is to denoise the components of the image in the moving frame in order to preserve its local geometry, which would have been more affected if processing the image directly. Experiments on a whole image database tested with several denoising methods show that this framework can provide better results than denoising the image directly, both in terms of Peak signal-to-noise ratio and Structural similarity index metrics.

Includes members:
  Member "Is Denoising Dead":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries")
  Member "A framework for objective image quality measures based on intuitionistic fuzzy sets":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Ear recognition using local binary patterns: A comparative experimental study")

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: Mathematics