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Image copy-move forgery detection = ...

Soni, Badal.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Image copy-move forgery detection/ by Badal Soni, Pradip K. Das.
其他題名:	new tools and techniques /
作者:	Soni, Badal.
其他作者:	Das, Pradip K.
出版者:	Singapore :Springer Singapore : : 2022.,
面頁冊數:	xxi, 133 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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
標題:	Image processing - Digital techniques. -
電子資源:	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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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.
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