Robust image watermarking techniques using image features / (Record no. 6895)

MARC details
000 -LEADER
fixed length control field 04667ntm a2200289 a 4500
001 - CONTROL NUMBER
control field vtls000098234
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117113330.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161201s2016 my da f abm 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0001153(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905141049
Level of effort used to assign nonsubject heading access points nazirah
Level of effort used to assign subject headings 201710061615
Level of effort used to assign classification aishah
-- 201612011513
-- saini
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) FSKKP .K43 2016 r Thesis
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Khalid Hassan Mohamed Edris
245 10 - TITLE STATEMENT
Title Robust image watermarking techniques using image features /
Statement of responsibility, etc. Khalid Hassan Mohamed Edris
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 134 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 CD ROM
500 ## - GENERAL NOTE
General note Faculty of Computer Systems and Software Engineering
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Doctor of Philosophy in Computer Science) -- Universiti Malaysia Pahang – 2016
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p. 123-134
520 3# - SUMMARY, ETC.
Summary, etc. This thesis addresses the issue of image watermarking robustness against attacks and especially geometrical attacks. The objectives of this research were, improve robustness watermarking technique based on local image features, and propose robust zero watermarking technique according to the global features of image, To obtain the local feature of image, the feature points extractor is very important. The improved robustness watermarking scheme adopted better feature points extractions named Brief and Efficient Scale Invariant Feature Transform, also adopted another feature points extractions named grouping Harris corner, so they can choose more robust feature points, then increase the robustness of watermark. This scheme used two watermarking techniques, namely, local circular region and block discrete cosine transform, to embed the watermark into two types of regions and extract it. To embed in local circular region, Brief and Efficient Scale Invariant Feature Transform extracts feature points, and then Local Circular Regions for embedding are found, finally, the watermark is embedded into Local Circular Regions by using Histogram. To embed into block discrete cosine transform, grouping Harris corner extracts feature points, and then the image is divided into 80 × 80 non-overlapping block to find candidate blocks, then each candidate block is divided into 8×8 non-overlapping sub-blocks and embeds the watermark in the DC components of each sub-block using its HVS-based embedding strength. For extracting watermark from Local Circular Regions, firstly, robust BE-SIFT feature points is extracted, then, Local Circular Regions are found, finally, the local histogram is computed to extract the watermark. For extracting watermark from Block DCT, first, grouping robust Harris corner feature points is extracted. Second, Delaunay tessellation and triangle matching are applied to restore the probe image. Third, the probe image is divided into 80×80 non-overlapping blocks. Fourth, each block is divided into 8×8 non-overlapping sub-blocks. Fifth, any sub-block is transformed into DCT sub-block. Sixth, the watermark is extracted from DC values. The experimental results showed that the improved scheme is robust against a wide variety of attacks. In particular, it is more robust against geometric attacks. The proposed method has 100% good performance for resisting attacks on Lena and Pepper images, and at least 84% good performance on Barbara and Plane images compared with Deng’s method, and it has 100% good performance compared with other methods. In addition, robust zero watermarking scheme based on global feature of image using complex Zernike moments is proposed, the contribution of this method is adopting complex Zernike moments, which can provide better robustness against geometric attacks and provide more information about image and more space for embedding and zero watermarking. Before calculating complex Zernike moments, standard translation and scaling of the tested image is performed, after getting the binarization of the argument value, the feature image is constructed and XOR operation with logo image is executed to generate verification image. Experimental results demonstrated that the proposed scheme has strong robustness to various attacks especially geometric attacks. The proposed scheme has at least 70% good performance of resisting attacks on tested images compared with the other methods.
610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Faculty of Computer Systems and Software Engineering
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Universities and Colleges
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theses
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://ecollib.ump.edu.my/3484/">http://ecollib.ump.edu.my/3484/</a>
Public note Library access only
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost Library of Congress Classification   In Transit UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   FSKKP .K43 2016 r Thesis 0000116505 04/09/2019 1 04/09/2019 Thesis
  Not lost Library of Congress Classification   In Transit UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 10612 | FSKKP .K43 2016 r Thesis 0000116506 04/09/2019 1 04/09/2019 Thesis

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