articleTop 1% cited
Two-stage image denoising by principal component analysis with local pixel grouping
Pattern Recognition · 2009 · Vol. 43(4) · pp. 1531–1549
Lei Zhang✉(Hong Kong Polytechnic University)Weisheng Dong(Hong Kong Polytechnic University)David Zhang(Hong Kong Polytechnic University)Guangming Shi(Xidian University)
Image and Signal Denoising MethodsAdvanced Image Fusion TechniquesImage Processing Techniques and ApplicationsPrincipal component analysisPattern recognition (psychology)Noise reductionArtificial intelligenceNon-local meansPixelNoise (video)Computer scienceBenchmark (surveying)Mathematics
Citations
641
FWCI
14.74
field-weighted impact
References
28
Percentile
99%
vs. same field & year
Citations per year
Cited by
Medical image denoising: A brief analysis
International Journal of Engineering in Computer Science · 2020 · 0 citations
Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
IEEE Transactions on Image Processing · 2011 · 1,106 citations
References
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
IEEE Transactions on Image Processing · 2007 · 9,026 citations
Image denoising using scale mixtures of gaussians in the wavelet domain
IEEE Transactions on Image Processing · 2003 · 2,254 citations
The curvelet transform for image denoising
IEEE Transactions on Image Processing · 2002 · 2,223 citations
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing · 2004 · 54,590 citations
De-noising by soft-thresholding
IEEE Transactions on Information Theory · 1995 · 9,501 citations
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
IEEE Transactions on Image Processing · 2006 · 5,342 citations
$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
IEEE Transactions on Signal Processing · 2006 · 9,439 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
