An Efficient Method for Detection of Copy-Move Forgery Using Discrete Wavelet Transform
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 5
Abstract
Copy-Move forgery is a specific type of image forgery, in which a part of digital image is copied and pasted to another part in the same image. This paper describes blind forensics approach for detecting Copy-Move forgery. Our technique works by first applying DWT (Discrete Wavelet Transform) to the input image to yield a reduced dimension representation [1]. Then the compressed image is divided into overlapping blocks. These blocks are then sorted and duplicated blocks are identified using Phase Correlation as similarity criterion. Due to DWT usage, detection is first carried out on lowest level image representation. This approach drastically reduces the time needed for the detection process.
Authors and Affiliations
Er. Saiqa Khan , Er. Arun Kulkarni
Keywords
Related Articles
- EP ID EP139730
- DOI -
- Views 119
- Downloads 0
An Improved Framework for Enhancing QoS in MIPv6
With the advent of technology, a large number of wireless and mobile devices are being connected to the internet increasingly giving the users access to the internet while on move. This mobility has been supported throug...
A Service Oriented Architecture to Integrate Short Message Service (SMS) Notification in Road Traffic Volume Control System
The traffic volume becomes one of the top problems in the world, the volume of traffic spends many time and much money, the traffic volume grows daily, and there is not effective and suitable solutions for grows problem....
EFFICIENT MINING OF WEIGHTED QUANTITATIVE ASSOCIATION RULES AND CHARACTERIZATION OF FREQUENT ITEMSETS
In recent years, a number of association rule mining algorithms were developed. In these algorithms, two important measures viz., support count and confidence were used to generate the frequent itemsets and the correspon...
An Efficient Semantic Model For Concept Based Clustering And Classification
Usually in text mining techniques the basic measures like term frequency of a term (word or phrase) is computed to compute the importance of the term in the document. But with statistical analysis, the original semantics...
An Extensive Study on the Future of Modeling in Software Development
In recent years, software modeling realized much attention in the field of software research and development due to demonstrating the capability of decreases time and cost of software development and also improves overal...