Add to ORKGThis demonstrates how an image can be compressed via the singular value decomposition (SVD). The original image is first represented as a matrix A with the intensity of each pixel assigned a numeric valueComponente Curricular::Educação Superior::Ciências Exatas e da Terra::Matemátic
Singular value decomposition (SVD) is one of the most useful matrix decompositions in linear algebra...
The Singular Value Decomposition (SVD) has many applications in image processing. The SVD can be use...
U prvome dijelu ovoga rada definirat ćemo pojam dekompozicije na singularne vrijednosti te iskazati ...
Abstract- Image compression techniques are the most concerned topics in today’s technological develo...
Analyzing big data amount and the limitation of the storage data devices and the rate of data is one...
Computer technology these days is most focused on storage space and speed. Considerable advancements...
In today’s highly computerized world, data compression is a key issue to minimize the costs associat...
Orientador: Simão Nicolau StelmastchukDissertação (mestrado) - Universidade Estadual de Campinas, In...
Abstract:- This comunication describes some image-compression concepts such as the transmitted energ...
The purpose of this paper is to study an important application of Singular Value Decomposition (SVD)...
This paper presents an image compression using singular value decomposition (SVD) by extracting the ...
The singular value decomposition (SVD) is an effective tool to reconstruct the image approximately t...
Abstract: Several mathematical methods are discussed in this paper, which are applied in image compr...
In this study we will provide a new way of images compression based on two mathematic concepts, thes...
An illustration of image compression via the discrete Fourier transformComponente Curricular::Educaç...
Singular value decomposition (SVD) is one of the most useful matrix decompositions in linear algebra...
The Singular Value Decomposition (SVD) has many applications in image processing. The SVD can be use...
U prvome dijelu ovoga rada definirat ćemo pojam dekompozicije na singularne vrijednosti te iskazati ...
Abstract- Image compression techniques are the most concerned topics in today’s technological develo...
Analyzing big data amount and the limitation of the storage data devices and the rate of data is one...
Computer technology these days is most focused on storage space and speed. Considerable advancements...
In today’s highly computerized world, data compression is a key issue to minimize the costs associat...
Orientador: Simão Nicolau StelmastchukDissertação (mestrado) - Universidade Estadual de Campinas, In...
Abstract:- This comunication describes some image-compression concepts such as the transmitted energ...
The purpose of this paper is to study an important application of Singular Value Decomposition (SVD)...
This paper presents an image compression using singular value decomposition (SVD) by extracting the ...
The singular value decomposition (SVD) is an effective tool to reconstruct the image approximately t...
Abstract: Several mathematical methods are discussed in this paper, which are applied in image compr...
In this study we will provide a new way of images compression based on two mathematic concepts, thes...
An illustration of image compression via the discrete Fourier transformComponente Curricular::Educaç...
Singular value decomposition (SVD) is one of the most useful matrix decompositions in linear algebra...
The Singular Value Decomposition (SVD) has many applications in image processing. The SVD can be use...
U prvome dijelu ovoga rada definirat ćemo pojam dekompozicije na singularne vrijednosti te iskazati ...