Image watermark detection techniques using quadtrees

The quadtree, a hierarchical data structure for the representation of spatial information based on the principle of recursive decomposition, is widely used in digital image processing and computer graphics. This paper demonstrates the detection of invisible watermarked images generated by popular wa...

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Main Author: Nidaa A. Abbas
Format: Article
Language:English
Published: Emerald Publishing 2015-07-01
Series:Applied Computing and Informatics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2210832714000222
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author Nidaa A. Abbas
author_facet Nidaa A. Abbas
author_sort Nidaa A. Abbas
collection DOAJ
description The quadtree, a hierarchical data structure for the representation of spatial information based on the principle of recursive decomposition, is widely used in digital image processing and computer graphics. This paper demonstrates the detection of invisible watermarked images generated by popular watermarking techniques, including CDMA, DCT, DWT, and Least Significant Bit (LSB) using quadtree. Results corresponding to typical (512 × 512) pixel images show differences among these methods when they are used. Each time we use the same image, the original images and invisible watermarked image to test the four methods in conjunction with quadtree decomposition. In addition to the subjective method represented by quadtree, many objective evaluations such as Pearson correlation, mean square error (MSE), Structural SIMilarity Index (SSIM) and false positive and false negative were used to give the comparison criteria between original and watermarked images. In results, the quadtree decomposition considered a promise subjective method to recognize among these watermark techniques.
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spelling doaj.art-46fd7fb8503f43249d3babee523325382023-09-02T19:31:36ZengEmerald PublishingApplied Computing and Informatics2210-83272015-07-0111210211510.1016/j.aci.2014.07.003Image watermark detection techniques using quadtreesNidaa A. AbbasThe quadtree, a hierarchical data structure for the representation of spatial information based on the principle of recursive decomposition, is widely used in digital image processing and computer graphics. This paper demonstrates the detection of invisible watermarked images generated by popular watermarking techniques, including CDMA, DCT, DWT, and Least Significant Bit (LSB) using quadtree. Results corresponding to typical (512 × 512) pixel images show differences among these methods when they are used. Each time we use the same image, the original images and invisible watermarked image to test the four methods in conjunction with quadtree decomposition. In addition to the subjective method represented by quadtree, many objective evaluations such as Pearson correlation, mean square error (MSE), Structural SIMilarity Index (SSIM) and false positive and false negative were used to give the comparison criteria between original and watermarked images. In results, the quadtree decomposition considered a promise subjective method to recognize among these watermark techniques.http://www.sciencedirect.com/science/article/pii/S2210832714000222CDMADCTDWTLSBQuadtree decompositionSubjective metrics
spellingShingle Nidaa A. Abbas
Image watermark detection techniques using quadtrees
Applied Computing and Informatics
CDMA
DCT
DWT
LSB
Quadtree decomposition
Subjective metrics
title Image watermark detection techniques using quadtrees
title_full Image watermark detection techniques using quadtrees
title_fullStr Image watermark detection techniques using quadtrees
title_full_unstemmed Image watermark detection techniques using quadtrees
title_short Image watermark detection techniques using quadtrees
title_sort image watermark detection techniques using quadtrees
topic CDMA
DCT
DWT
LSB
Quadtree decomposition
Subjective metrics
url http://www.sciencedirect.com/science/article/pii/S2210832714000222
work_keys_str_mv AT nidaaaabbas imagewatermarkdetectiontechniquesusingquadtrees