human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "systholic boolean orthonormalizer network in wavelet domain for sar image despeckling"):
  Abstract: We describe a novel method for removing speckle (in wavelet domain) of unknown variance from SAR images. The me-thod is based on the following procedure: We apply 1) Bidimentional Discrete Wavelet Transform (DWT-2D) to the speckled image, 2) scaling and rounding to the coefficients of the highest subbands (to obtain integer and positive coefficients), 3) bit-slicing to the new highest subbands (to obtain bit-planes), 4) then we apply the Systholic Boolean Orthonormalizer Network (SBON) to the input bit-plane set and we obtain two orthonormal output bit-plane sets (in a Boolean sense), we project a set on the other one, by means of an AND operation, and then, 5) we apply re-assembling, and, 6) re-sca-ling. Finally, 7) we apply Inverse DWT-2D and reconstruct a SAR image from the modified wavelet coefficients. Despeckling results compare favorably to the most of methods in use at the moment.

Includes members:
  Member "enhanced directional smoothing algorithm for edge preserving smoothing of synthetic aperture radar images":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "quantum spectral analysis frequency in time with applications to signal and image processing")
  Member "enhanced boolean correlation matrix memory":
    also connected through other hyperedges:
      (none)
  Member "kalman s shrinkage for wavelet based despeckling of sar images":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "quantum spectral analysis frequency in time with applications to signal and image processing")
  Member "denoising based on wavelets and deblurring via self organizing map for synthetic aperture radar images":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "quantum spectral analysis frequency in time with applications to signal and image processing")
  Member "fuzzy thresholding in wavelet domain for speckle reduction in synthetic aperture radar images":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "quantum spectral analysis frequency in time with applications to signal and image processing")
  Member "neural shrinkage for wavelet based sar despeckling":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "quantum spectral analysis frequency in time with applications to signal and image processing")
  Member "new wavelet based superresolution algorithm for speckle reduction in sar images":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "quantum spectral analysis frequency in time with applications to signal and image processing")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CV(Computer Vision and Pattern Recognition)