SVD Based Image Processing Applications: State of The Art, Contributions and Research Challenges
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 7
Abstract
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.
Authors and Affiliations
Rowayda Sadek
Keywords
Related Articles
- EP ID EP150910
- DOI -
- Views 105
- Downloads 0
A Comparative Study of Classification Algorithms using Data Mining: Crime and Accidents in Denver City the USA
In the last five years, crime and accidents rates have increased in many cities of America. The advancement of new technologies can also lead to criminal misuse. In order to reduce incidents, there is a need to understan...
An Empirical Investigation of Predicting Fault Count, Fix Cost and Effort Using Software Metrics
Software fault prediction is important in software engineering field. Fault prediction helps engineers manage their efforts by identifying the most complex parts of the software where errors concentrate. Researchers usua...
Bayesian Network Analysis for the Questionnaire Investigation on the Needs at Fuji Shopping Street Town under the View Point of Service Engineering
Shopping streets at local city in Japan became old and are generally declining. In this paper, the area rebirth and/or regional revitalization of shopping street are handled. Fuji city in Japan is focused. Four big festi...
Classification of C2C e-Commerce Product Images using Deep Learning Algorithm
C2C (consumer-to-consumer) is a business model where two individuals transact or conduct business with each other using a platform. A consumer act as a seller put their product in a platform later will be displayed to an...
E-shape Multiband Patch Antenna for 4G, C-band and S-band Applications
In this study, a new E shape mounted on minowaki island patch antenna on FR4 substrate is presented for communication systems applications. With insertion of shortening pin between patch and ground plane, the proposed st...