Principal Component Analysis applied to digital image compression

Principal Component Analysis applied to digital image compression

Objective: To describe the use of a statistical tool (Principal ComponentAnalysis – PCA) for the recognition of patterns and compression,applying these concepts to digital images used in Medicine.Methods: The description of Principal Component Analysis is madeby means of the explanation of eigenvalu...

Full description

Bibliographic Details
Main Author:	Rafael do Espírito Santo
Format:	Article
Language:	English
Published:	Instituto Israelita de Ensino e Pesquisa Albert Einstein 2012-06-01
Series:	Einstein (São Paulo)
Subjects:	Principal component analysis Eigenvalues Eigenvectors Image compressing Patters Dimensionality reduction
Online Access:	http://apps.einstein.br/revista/arquivos/PDF/2237-135-139.pdf

Similar Items

Image Compression Using Principle Component Analysis
by: abbas arab, et al.
Published: (2018-11-01)

SEPARATION OF DIFFRACTION SPECTRA BY PRINCIPAL COMPONENT METHOD BY THE EXAMPLE OF ARIFON DRUG
by: R. V. Chekhova, et al.
Published: (2019-02-01)

New Insights on Principal Component Analysis
Published: (2024)

A NOVEL COMPUTATION TECHNIQUE FOR SINGLE AND MULTIFACE DETECTION USING EUCLIDEAN DISTANCE AND PRINCIPAL COMPONENT ANALYSIS (PCA)
by: MAHMOUD A. M. ALBREEM, et al.
Published: (2012-10-01)

Implementasi Pengenalan Wajah Menggunakan PCA (Principal Component Analysis)
by: Dian Esti Pratiwi, et al.
Published: (2013-10-01)

A regression and comparative study of United States and South African yield curves using principal component analysis
by: Kavir Patel, et al.
Published: (2018-03-01)

Optimal inference for one-sample and multisample principal component analysis
by: Verdebout, Thomas
Published: (2008)

Kinetic analysis of the gas-phase reactions of methacrolein with the OH radical in the presence of NOx
by: Pimentel André Silva, et al.
Published: (1999-01-01)

Theory and Methods in Determining the Eigenvalues and Eigenvectors of a Matrix
by: Waldon, Jerry Herschel
Published: (1965)

Extensions of principal components analysis
by: Brubaker, S. Charles
Published: (2009)

A note on the eigensystem of the covariance matrix of dichotomous Guttman items
by: Clintin P Davis-Stober, et al.
Published: (2015-12-01)

Modifikasi Pembobotan Systemic Important Score dengan Principal Component Analysis
by: Samsul Anwar
Published: (2018-01-01)

Optimal Inference for One-Sample and Multisample Principal Component Analysis
by: Verdebout, Thomas
Published: (2008)

Geometrical Approximated Principal Component Analysis for Hyperspectral Image Analysis
by: Alina L. Machidon, et al.
Published: (2020-05-01)

Kinetic Analysis of the Gas-Phase Reactions of Methyl Vinyl Ketone with the OH Radical in the Presence of NOx
by: Pimentel André Silva, et al.
Published: (1998-01-01)

Observations on the Computation of Eigenvalue and Eigenvector Jacobians
by: Andrew J. Liounis, et al.
Published: (2019-11-01)

About eigen sensitivity analysis of mechanical structures
by: Trišović Nataša R.
Published: (2013-01-01)

Numerical methods for obtaining eigenvalues and eigenvectors for an nxn matrix
by: Lashley, Gerald
Published: (2017)

Scrutiny of Academic Performance of Students using Eigenvalue and Eigenvectors: A case study
by: Muhammad Afzal Sahito, et al.
Published: (2018-07-01)

Demixed Sparse Principal Component Analysis Through Hybrid Structural Regularizers
by: Yan Zhang, et al.
Published: (2021-01-01)

Kinetic Analysis of the Gas-Phase Reactions of Methyl Tert-Butyl Ether with the OH Radical in the Presence of NOx
by: Pimentel André Silva, et al.
Published: (1998-01-01)

Demixed principal component analysis of neural population data
by: Dmitry Kobak, et al.
Published: (2016-04-01)

A Globally Convergent MCA Algorithm by Generalized Eigen-Decomposition
by: Jianbin Gao, et al.
Published: (2011-10-01)

A Principal Component Analysis Algorithm Based on Dimension Reduction Window
by: Rui Zhang, et al.
Published: (2018-01-01)

Global bifurcation for nonlinear Dirac problems
by: Ziyatkhan Aliyev, et al.
Published: (2016-07-01)

Eigenvalue Criterion-Based Feature Selectionin Principal Component Analysis of Speech
by: Peter Viszlay, et al.
Published: (2012-01-01)

On the Use of Machine Learning Models for Prediction of Compressive Strength of Concrete: Influence of Dimensionality Reduction on the Model Performance
by: Zhi Wan, et al.
Published: (2021-02-01)

Quantum Algorithm for Spectral Regression for Regularized Subspace Learning
by: Fan-Xu Meng, et al.
Published: (2019-01-01)

Oscillation theorems for the Dirac operator with a spectral parameter in the boundary condition
by: Ziyatkhan Aliyev, et al.
Published: (2016-12-01)

Hyperspectral data compression based upon the principal component analysis
by: A.S. Minkin, et al.
Published: (2021-04-01)

A Trimmed Clustering-Based <i>l</i><sub>1</sub>-Principal Component Analysis Model for Image Classification and Clustering Problems with Outliers
by: Benson S. Y. Lam, et al.
Published: (2019-04-01)

An Improved High-Dimensional Kriging Surrogate Modeling Method through Principal Component Dimension Reduction
by: Yaohui Li, et al.
Published: (2021-08-01)

Stable Analysis of Compressive Principal Component Pursuit
by: Qingshan You, et al.
Published: (2017-02-01)

Integrative Analysis of Multi-Omics Data Based on Blockwise Sparse Principal Components
by: Mira Park, et al.
Published: (2020-11-01)

Principal Component Analysis of Geomagnetic Data for the Panzhihua Earthquake (Ms 6.1) in August 2008
by: Junhui Li, et al.
Published: (2011-07-01)

Dimension Reduction of Machine Learning-Based Forecasting Models Employing Principal Component Analysis
by: Yinghui Meng, et al.
Published: (2020-07-01)

THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 2
by: Aneta Oniszczuk-Jastrząbek
Published: (2016-06-01)

Fuzzy Analytic Hierarchy Process-Based Multi-Criteria Decision Making for Universities Ranking
by: Rashad Aliyev, et al.
Published: (2020-08-01)

Fluid queues driven by an M/M/1/N queue
by: R. B. Lenin, et al.
Published: (2000-01-01)

Fluid queues driven by an <math alttext="$mathrm{M}/mathrm{M}/1/mathrm{N}$"> <mrow> <mtext>M</mtext> <mo>/</mo> <mtext>M</mtext> <mo>/</mo> <mn>1</mn> <mo>/</mo> <mtext>N</mtext> </mrow> </math> queue
by: Lenin R. B., et al.
Published: (2000-01-01)

Cannot write session to /tmp/vufind_sessions/sess_fea4gi8f3d6nb1v4deu8upn859