Go to main content

Digital image forensics : theory and implementation / Aniket Roy, Rahul Dixit, Ruchira Naskar, Rajat Subhra Chakraborty.

Roy, Aniket, author.; Dixit, Rahul, author.; Naskar, Ruchira, author.; Chakraborty, Rajat Subhra, author.
2020
HV8079.C65
Available Online
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket
Cite
Citation

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Digital image forensics : theory and implementation / Aniket Roy, Rahul Dixit, Ruchira Naskar, Rajat Subhra Chakraborty.
Author
Roy, Aniket, author.
ISBN
9789811076442 (electronic book)
9811076448 (electronic book)
9789811076435
981107643X
DOI
https://doi.org/10.1007/978-981-10-7644-2
https://doi.org/10.1007/978-981-10-7
Published
Singapore : Springer, [2020].
Language
English
Description
1 online resource (xvi, 89 pages) : illustrations.
Item Number
10.1007/978-981-10-7644-2 doi
10.1007/978-981-10-7
Call Number
HV8079.C65
Dewey Decimal Classification
363.25
Summary
This book discusses blind investigation and recovery of digital evidence left behind on digital devices, primarily for the purpose of tracing cybercrime sources and criminals. It presents an overview of the challenges of digital image forensics, with a specific focus on two of the most common forensic problems. The first part of the book addresses image source investigation, which involves mapping an image back to its camera source to facilitate investigating and tracing the source of a crime. The second part of the book focuses on image-forgery detection, primarily focusing on "copy-move forgery" in digital images, and presenting effective solutions to copy-move forgery detection with an emphasis on additional related challenges such as blur-invariance, similar genuine object identification, etc. The book concludes with future research directions, including counter forensics. With the necessary mathematical information in every chapter, the book serves as a useful reference resource for researchers and professionals alike. In addition, it can also be used as a supplementary text for upper-undergraduate and graduate-level courses on "Digital Image Processing", "Information Security", "Machine Learning", "Computer Vision" and "Multimedia Security and Forensics".
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 18, 2019).
Added Author
Dixit, Rahul, author.
Naskar, Ruchira, author.
Chakraborty, Rajat Subhra, author.
Series
Studies in computational intelligence ; v. 755.
Available in Other Form
Print version: 9789811076435
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Chapter 1: Introduction
Chapter 2: Source Camera Identification Using Statistical Features
Chapter 3: Copy Move Forgery Detection in Digital Images – A Survey and Analysis
Chapter 4: Copy–Move Forgery Detection exploiting Statistical Image Features
Chapter 5: Blur-invariant Copy-move Forgery Detection utilizing SWT-SVD
Chapter 6: Copy–Move Forgery Detection with Similar but Genuine Objects using Texture Features
Chapter 7: Conclusions and Future Work.

Browse Subjects

Show more subjects...

Statistics

from
to
Export