Nan Jia

Computer Vision and Pattern Recognition · with Feng · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Nan Jia trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Vladimir Katkovnik
  2. John Ashburner
  3. Alessandro Foi
  4. A. Buades
  5. Kostadin Dabov
  6. Stanley J. Osher
  7. Matteo Maggioni
  8. Karen O. Egiazarian
  9. Michael Elad

Who trusts Nan Jia overall

  1. Arvid Lundervold

Papers from Nan Jia's perspective

Ordered by how strongly the researchers Nan Jia trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Review of Image Denoising Algorithms, with a New One
  2. Image quality assessment: from error visibility to structural similarity
  3. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
  4. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (IEEE Transactions on Image Processing)
  5. Nonlinear total variation based noise removal algorithms
  6. From Local Kernel to Nonlocal Multiple-Model Image Denoising (International Journal of Computer Vision)
  7. An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images (IEEE Transactions on Medical Imaging)
  8. An Iterative Regularization Method for Total Variation-Based Image Restoration
  9. Clustering-Based Denoising With Locally Learned Dictionaries (IEEE Transactions on Image Processing)
  10. Voxel-based morphometry--the methods.

Their papers