Image watermarking using slantlet transform

Mohammed, Rasha Thabit; Khoo, Bee Ee

doi:10.1109/isiea.2012.6496644

Cited by 18 publications

(13 citation statements)

References 17 publications

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“…The final subsection presents a general comparison between the proposed MBW and the state-ofthe-art iris image watermarking methods. The SLT-based watermarking methods proved their efficiency in terms of robustness as explained in [27][28], therefore, the robustness test is not repeated in this research paper.…”

Section: Resultsmentioning

confidence: 99%

“…In recent years, different Slantlet transform (SLT) based watermarking schemes have been presented which proved their efficiency in terms of high embedding capacity, robustness against attacks, and high visual quality [27][28], therefore, a SLT-based watermarking algorithm is applied in the proposed MBW scheme. The procedures of the watermark embedding and extraction in an image block are explained in the following subsections.…”

Section: The Proposed Watermark Embedding and Extraction Processmentioning

confidence: 99%

“…• Take a bit from S and embed it by modifying the difference between one coefficient from H and one coefficient from V at the same coordinates. The modification rules are explained in details in [28]. • Increase the counter ( 1)…”

Section: Repeatmentioning

confidence: 99%

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Multi-Biometric Watermarking Scheme Based on Interactive Segmentation Process

Thabit

2019

Period. Polytech. Elec. Eng. Comp. Sci.

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Iris-based security systems are highly recommended because of their security and ease of use. Different watermarking techniques have been presented to provide security while exchanging or storing iris images. The previous iris image watermarking techniques have successfully reached their aims, however, they suffer from some limitations such as the distortions that are presented in the iris region because of the watermark embedding process, the limited embedding capacity, and the lack of robustness against unintentional attacks. On the other hand, nowadays, the biometric-based security systems have directed their interest towards multi-biometric techniques in order to improve the performance of the individual’s recognition process. This paper presents a new multi-biometric watermarking (MBW) scheme in which the features of the fingerprint image and some personal information are embedded in the iris image. To avoid the abovementioned limitations, the proposed scheme presents an interactive segmentation algorithm (ISA) and a Slantlet transform based watermark embedding method. The proposed ISA prevents any distortion in the iris region which is a beneficial feature for the iris image recognition process. The experimental results proved the efficiency of the proposed ISA in comparison with the Hough transform based methods in terms of accuracy, embedding capacity, and execution time. The proposed MBW scheme performs better in comparison with the state-of-the-art methods in terms of the intactness of the iris region, the robustness against unintentional attacks, and the watermark embedding capacity.

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Section: Resultsmentioning

confidence: 99%

Section: The Proposed Watermark Embedding and Extraction Processmentioning

confidence: 99%

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Multi-Biometric Watermarking Scheme Based on Interactive Segmentation Process

Thabit

2019

Period. Polytech. Elec. Eng. Comp. Sci.

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“…Important information in the image is represented by high coefficients. Thus, the HL decomposition is used to embed the watermarking to achieve high robustness [19]. …”

Section: Slantlet Transformmentioning

confidence: 99%

Robust Video Watermarking of Hybrid Based Techniques

Thajeel

2017

ijs

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This paper adopted a new video watermarking scheme based on hybrid transforms to achieve the watermarking requirements, that is, robustness, imperceptibility, and security. Where In our system first of all, the original video will be divided into frames to transform it using the Slantlet Transform into four sub-bands (i.e., LL, LH, HL, and HH). Secondly, The HL sub-band will be chosen for further decomposition using Contourlet Transform (CT), and then the low subband of CT will be selected to decompose it to fixed size non overlapping blocks to employ the DCT (Discrete Cosine Transform) on each block. lastly, to improve the security and robustness, the watermark logo is scrambled using AT(Arnold transformation ) as a prelude to embed it's on the each transformed nonoverlapping blocks. Experimental results show that the proposed system achieves good imperceptibility and high resistance against various attacks.

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“…In the conventional SLT, the moment vectors have been computed by using recursive algorithm, which resembles a sequence of convolutions and downsampling. The Slantlet-based applications in [15][16][17][18][19] used the conventional SLT to transform the input signal.…”

Section: Slantlet Transform and Its Matrixmentioning

confidence: 99%

Capacity improved robust lossless image watermarking

Thabit

Khoo

2014

IET Image Processing

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Nowadays, the lossless watermarking methods that can resist attacks have attracted more attention. Obtaining a robust lossless watermarking was at the cost of reducing the capacity and the watermarked image quality. This study presents a new robust lossless watermarking scheme in the transform domain where the Slantlet transform (SLT) has been applied to transform the host image and blocks of the SLT coefficients have been selected for the embedding process. The histograms of the selected blocks are modified according to a predefined threshold value to carry the watermark bits. The overflow/ underflow of the pixel values have been avoided by using a pixel adjustment method as a post-processing step. In the proposed scheme, the original host image can be recovered without any distortion after the hidden watermark has been extracted and the watermark can withstand different kinds of attacks. In comparison with the previous methods, the proposed scheme has higher embedding capacity, better robustness against unintentional attacks and improved visual quality. The results of the experiments prove the efficiency of the proposed scheme.

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Image watermarking using slantlet transform

Cited by 18 publications

References 17 publications

Multi-Biometric Watermarking Scheme Based on Interactive Segmentation Process

Multi-Biometric Watermarking Scheme Based on Interactive Segmentation Process

Robust Video Watermarking of Hybrid Based Techniques

Capacity improved robust lossless image watermarking

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