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Image copy-move forgery detection = ...

Soni, Badal.

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Image copy-move forgery detection = new tools and techniques /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Image copy-move forgery detection/ by Badal Soni, Pradip K. Das.
Reminder of title:	new tools and techniques /
Author:	Soni, Badal.
other author:	Das, Pradip K.
Published:	Singapore :Springer Singapore : : 2022.,
Description:	xxi, 133 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Background Study and Analysis -- Copy-Move Forgery Detection using Local Binary Pattern Histogram Fourier Features -- Blur Invariant Block-based CMFD System using FWHT Features -- Geometric Transformation Invariant Improved Block based Copy-Move Forgery Detection -- Key-points based Enhanced Copy-Move Forgery Detection System using DBSCAN Clustering Algorithm -- Image Copy-Move Forgery Detection using Deep Convolutional Neural Networks.
Contained By:	Springer Nature eBook
Subject:	Image processing - Digital techniques. -
Online resource:	https://doi.org/10.1007/978-981-16-9041-9
ISBN:	9789811690419

Image copy-move forgery detection = new tools and techniques /
Soni, Badal.

Image copy-move forgery detectionnew tools and techniques /[electronic resource] :by Badal Soni, Pradip K. Das. - Singapore :Springer Singapore :2022. - xxi, 133 p. :ill. (chiefly col.), digital ;24 cm. - Studies in computational intelligence,v. 10171860-9503 ;. - Studies in computational intelligence ;v. 1017..

Introduction -- Background Study and Analysis -- Copy-Move Forgery Detection using Local Binary Pattern Histogram Fourier Features -- Blur Invariant Block-based CMFD System using FWHT Features -- Geometric Transformation Invariant Improved Block based Copy-Move Forgery Detection -- Key-points based Enhanced Copy-Move Forgery Detection System using DBSCAN Clustering Algorithm -- Image Copy-Move Forgery Detection using Deep Convolutional Neural Networks.

This book presents a detailed study of key points and block-based copy-move forgery detection techniques with a critical discussion about their pros and cons. It also highlights the directions for further development in image forgery detection. The book includes various publicly available standard image copy-move forgery datasets that are experimentally analyzed and presented with complete descriptions. Five different image copy-move forgery detection techniques are implemented to overcome the limitations of existing copy-move forgery detection techniques. The key focus of work is to reduce the computational time without adversely affecting the efficiency of these techniques. In addition, these techniques are also robust to geometric transformation attacks like rotation, scaling, or both.

ISBN: 9789811690419

Standard No.: 10.1007/978-981-16-9041-9doiSubjects--Topical Terms:

532550
Image processing
--Digital techniques.

LC Class. No.: TA1637 / .S66 2022

Dewey Class. No.: 621.367

Image copy-move forgery detection = new tools and techniques /
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300 $a xxi, 133 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-9503 ; $v v. 1017
505 0 $a Introduction -- Background Study and Analysis -- Copy-Move Forgery Detection using Local Binary Pattern Histogram Fourier Features -- Blur Invariant Block-based CMFD System using FWHT Features -- Geometric Transformation Invariant Improved Block based Copy-Move Forgery Detection -- Key-points based Enhanced Copy-Move Forgery Detection System using DBSCAN Clustering Algorithm -- Image Copy-Move Forgery Detection using Deep Convolutional Neural Networks.
520 $a This book presents a detailed study of key points and block-based copy-move forgery detection techniques with a critical discussion about their pros and cons. It also highlights the directions for further development in image forgery detection. The book includes various publicly available standard image copy-move forgery datasets that are experimentally analyzed and presented with complete descriptions. Five different image copy-move forgery detection techniques are implemented to overcome the limitations of existing copy-move forgery detection techniques. The key focus of work is to reduce the computational time without adversely affecting the efficiency of these techniques. In addition, these techniques are also robust to geometric transformation attacks like rotation, scaling, or both.
650 0 $a Image processing $x Digital techniques. $3 532550
650 0 $a Digital images $x Forgeries. $3 3592900
650 0 $a Digital forensic science. $3 3338165
650 1 4 $a Digital and Analog Signal Processing. $3 3538815
650 2 4 $a Computer Vision. $3 3538524
650 2 4 $a Computational Intelligence. $3 1001631
700 1 $a Das, Pradip K. $3 3592898
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 1017. $3 3592899
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