resmi sekhar | Noorul Islam University (original) (raw)
Uploads
Papers by resmi sekhar
Digital Image Forgery is a worn-out term nowadays because the imaging tools and software availabl... more Digital Image Forgery is a worn-out term nowadays because the imaging tools and software available are much sophisticated that even a naive user can make alterations with images. Among the different types of image forgery, copymove forgery is the stereotyped one as it is very easy to copy a region in an image and paste the region in the same image, mostly after some form of transformations applied on the region. Various methods which are classified as block-based and key-point based have been proposed for detecting copy-move forgeries with different amount of correctness and efficiency. In this paper we propose a novel key-point based approach using Maximally Stable Extremal Regions (MSER) feature detector and Scale Invariant Feature Descriptor (SIFT) for copy-move forgery detection. For more accurate localization of forged regions we propose the use of Particle Swarm Optimization based clustering as the final step. Results prove that the proposed method can detect more types of for...
Photographs are taken as valid evidences in various scenarios of our day to day life. Because of ... more Photographs are taken as valid evidences in various scenarios of our day to day life. Because of the developments in the field of Image Processing, altering images according to ones need is not a difficult task. Techniques of Image Forensics play its crucial role at this juncture. One of the mostly found types of image tampering is Copy-Move forgery. A copy-move forgery is performed by copying a region in an image and pasting it on another region in the same image, mostly after some form of post-processing like rotation, scaling, blurring, noise addition, JPEG compression etc. Two types of copy-move forgery detection techniques exist in literature. They are the Block based methods and Key-point based methods. Both the methods have their own advantages and limitations. This paper presents a survey on the recent developments in block based methods.
Advances in Intelligent Systems and Computing, 2015
International Journal of Digital Crime and Forensics, Oct 1, 2014
Digital Image Forgery is a worn-out term nowadays because the imaging tools and software availabl... more Digital Image Forgery is a worn-out term nowadays because the imaging tools and software available are much sophisticated that even a naive user can make alterations with images. Among the different types of image forgery, copymove forgery is the stereotyped one as it is very easy to copy a region in an image and paste the region in the same image, mostly after some form of transformations applied on the region. Various methods which are classified as block-based and key-point based have been proposed for detecting copy-move forgeries with different amount of correctness and efficiency. In this paper we propose a novel key-point based approach using Maximally Stable Extremal Regions (MSER) feature detector and Scale Invariant Feature Descriptor (SIFT) for copy-move forgery detection. For more accurate localization of forged regions we propose the use of Particle Swarm Optimization based clustering as the final step. Results prove that the proposed method can detect more types of for...
Photographs are taken as valid evidences in various scenarios of our day to day life. Because of ... more Photographs are taken as valid evidences in various scenarios of our day to day life. Because of the developments in the field of Image Processing, altering images according to ones need is not a difficult task. Techniques of Image Forensics play its crucial role at this juncture. One of the mostly found types of image tampering is Copy-Move forgery. A copy-move forgery is performed by copying a region in an image and pasting it on another region in the same image, mostly after some form of post-processing like rotation, scaling, blurring, noise addition, JPEG compression etc. Two types of copy-move forgery detection techniques exist in literature. They are the Block based methods and Key-point based methods. Both the methods have their own advantages and limitations. This paper presents a survey on the recent developments in block based methods.
Advances in Intelligent Systems and Computing, 2015
International Journal of Digital Crime and Forensics, Oct 1, 2014