Xueru Zhao

ORCID: 0000-0003-3369-7687
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About
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Research Areas
  • Hydrology and Watershed Management Studies
  • Seaweed-derived Bioactive Compounds
  • Image and Signal Denoising Methods
  • Hydrological Forecasting Using AI
  • Polysaccharides and Plant Cell Walls
  • Sparse and Compressive Sensing Techniques
  • Polysaccharides Composition and Applications
  • Neural Networks and Applications
  • Photoacoustic and Ultrasonic Imaging

Northeast Forestry University
2015

Chinese Academy of Sciences
2014

Image normally has both dots-like and curve structures. But the traditional wavelet or multidirectional wave (ridgelet, contourlet, curvelet, etc.) could only restore one of these structures efficiently so that restoration results for complex images are unsatisfactory. For image restoration, this paper adopted a strategy combined shearlet frame proposed new method. Theoretically, sparse representation be achieved by wavelet, respectively. Under the<mml:math...

10.1155/2015/647254 article EN Mathematical Problems in Engineering 2015-01-01
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