Shen-En Qian
Computer Vision and Pattern Recognition · 2006–2016
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it; #4,712 of 21,575 by trust here, #12,689 by citations
- Media Technology — 10 citations into it; #407 of 3,621 by trust here, #1,550 by citations
Whom Shen-En Qian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Levent Sendur
- David L. Donoho
- Alessandro Foi
- Javier Portilla
- Iain M. Johnstone
- Ivan W. Selesnick
- Vladimir Katkovnik
- Vasily Strela
- Karen O. Egiazarian
- Tommaso Cai
Who trusts Shen-En Qian overall
- Qiangqiang Yuan
- Wei He
- Liangpei Zhang
- Behnood Rasti
- Guangchun Luo
- Hongyan Zhang
- Huanfeng Shen
- Paul Scheunders
- Pedram Ghamisi
- Yao Wang
Papers from Shen-En Qian's perspective
Ordered by how strongly the researchers Shen-En Qian trusts endorse each paper. Same corpus, a different order for every researcher.
- Adaptive wavelet thresholding for image denoising and compression (IEEE Transactions on Image Processing)
- Ideal spatial adaptation by wavelet shrinkage
- Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images (IEEE Transactions on Image Processing)
- Bivariate shrinkage with local variance estimation (IEEE Signal Processing Letters)
- Image denoising using scale mixtures of Gaussians in the wavelet domain
- Statistics of natural images and models
- A wavelet tour of signal processing
- The curvelet transform for image denoising (Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205))
- Video denoising by sparse 3D transform-domain collaborative filtering (European Signal Processing Conference)
- De-noising by soft-thresholding
Their papers
- Minimum Noise Fraction versus Principal Component Analysis as a Preprocessing Step for Hyperspectral Imagery Denoising (2016) — 184 citations
- Denoising of Hyperspectral Imagery Using Principal Component Analysis and Wavelet Shrinkage (2011) — 416 citations
- Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivative-domain wavelet shrinkage (2006) — 310 citations