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Local pixel grouping
In image Noise reduction, local pixel grouping is the algorithm to remove noise from images using principal component analysis (PCA).
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Related topics
Related topics
3 relations
Block-matching algorithm
Noise reduction
Principal component analysis
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Principle Component Based Image DeNoising using Local Pixel Grouping
Sangeeta Rani
,
Pankaj Dev Chadha
2016
Corpus ID: 34422954
This paper presents an efficient image de-noising scheme by using principal component analysis (PCA) with local pixel grouping…
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2016
2016
PRINCIPAL COMPONENT ANALYSIS IMAGE DENOISING USING LOCAL PIXEL GROUPING
Divesh Kumar
,
Dheeraj Kalra
2016
Corpus ID: 212519661
In recent years various image processing techniques have been developed. These include medical, satellite, space, transmission…
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Review
2016
Review
2016
A REVIEW PAPER ON AN EMBEDDED EXTENDED VISUAL CRYPTOGRAPHY SCHEME FOR COLOR IMAGE USING LPG WITH PCA
Navdeep Kaur
,
Gagandeep Singh
2016
Corpus ID: 212521869
A method for creating digital image copyright protection is proposed in this paper. The proposed method in this paper is based on…
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2016
2016
Denoising with Patch-based Principal Component Analysis
Fang Bao
2016
Corpus ID: 145817371
One important task in image processing is noise reduction, which requires to recover image information by removing noise without…
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2015
2015
Patch Grouping SVD-Based Denoising Aggregation Patch Grouping SVD-Based Denoising Aggregation Back Projection Noisy Image
Qiang Guo
,
Caiming Zhang
,
Yun-Feng Zhang
,
Hui Liu
2015
Corpus ID: 207877213
Nonlocal self-similarity of images has attracted considerable interest in the field of image processing and led to several state…
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2015
2015
Enhanced Images using Noise Removal with Image Restoration
Kaneria Avni
2015
Corpus ID: 53124456
There are many noise reduction techniques have been developed for removing noise and retaining edge details in images.Each…
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2013
2013
Non-local means denoising approach based on dictionary learning
Z. Gui
2013
Corpus ID: 124618061
Concerning the measurement of the similarity of non-local means,a method based on dictionary learning was presented.First,block…
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2012
2012
PCA Based Image Enhancement in Wavelet Domain
Vikas D. Patil
,
S. Ruikar
2012
Corpus ID: 212499980
— This paper demonstrates a methodology of image enhancement that uses principle component analysis (PCA) in wavelet domain. PCA…
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2012
2012
Image Enhancement by Wavelet with Principal Component Analysis
Vikas D. Patil
,
S. Ruikar
2012
Corpus ID: 43235561
This paper demonstrate the dimensionality of image sets with Wavelet using principal component analysis on wavelet coefficients…
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2012
2012
PCA based image denoising 1
Y. Murali
,
M. Babu
,
M. Subramanyam
,
M. N. Giri Prasad
2012
Corpus ID: 2740011
Principal component analysis (PCA) is an orthogonal transformation that seeks the directions of maximum variance in the data and…
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