SVD Based Image Processing Applications: State of The Art, Contributions and Research Challenges

11/29/2012
by   Rowayda A. Sadek, et al.
0

Singular Value Decomposition (SVD) has recently emerged as a new paradigm for processing different types of images. SVD is an attractive algebraic transform for image processing applications. The paper proposes an experimental survey for the SVD as an efficient transform in image processing applications. Despite the well-known fact that SVD offers attractive properties in imaging, the exploring of using its properties in various image applications is currently at its infancy. Since the SVD has many attractive properties have not been utilized, this paper contributes in using these generous properties in newly image applications and gives a highly recommendation for more research challenges. In this paper, the SVD properties for images are experimentally presented to be utilized in developing new SVD-based image processing applications. The paper offers survey on the developed SVD based image applications. The paper also proposes some new contributions that were originated from SVD properties analysis in different image processing. The aim of this paper is to provide a better understanding of the SVD in image processing and identify important various applications and open research directions in this increasingly important area; SVD based image processing in the future research.

READ FULL TEXT

page 3

page 4

page 6

page 7

page 8

research
09/21/2020

Ranky : An Approach to Solve Distributed SVD on Large Sparse Matrices

Singular Value Decomposition (SVD) is a well studied research topic in m...
research
12/23/2018

Advanced Image Processing for Astronomical Images

Image Processing in Astronomy is a major field of research and involves ...
research
09/27/2018

A Note on Spectral Clustering and SVD of Graph Data

Spectral clustering and Singular Value Decomposition (SVD) are both wide...
research
12/07/2021

Enhancing the SVD Compression

Orthonormality is the foundation of matrix decomposition. For example, S...
research
09/28/2019

Deep K-SVD Denoising

This work considers noise removal from images, focusing on the well know...
research
06/17/2022

OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing

Optoacoustic (OA) imaging is based on excitation of biological tissues w...
research
11/27/2019

Novelty Detection Via Blurring

Conventional out-of-distribution (OOD) detection schemes based on variat...

Please sign up or login with your details

Forgot password? Click here to reset