Enhancement of robustness of image watermarks embedding into colored image, based on WT and DCT

Cho, J.S.; Shin, Sang-Uk; Lee, W.H.; Kim, J.W.; Choi, Jae-Gark

doi:10.1109/itcc.2000.844274

Cited by 10 publications

(17 citation statements)

References 10 publications

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“…Although DCT-based methods are easy to implement, have been wildly employed for multimedia compression, and are suitable to embed pseudo random numbers as watermarks, it is weak to claim the ownership of intellectual property; moreover, watermark embedded in DCT coefficients seems to be easily lost [2]. Recently, the discrete wavelet transform (DWT) [4,5,10,11,23,25] has been used to hide data in the frequency domain.…”

Section: Introductionmentioning

confidence: 99%

A Robust Image Authentication Method Based on Wavelet Transform and Teager Energy Operator

Hsieh¹

2010

IJMA

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Section: Introductionmentioning

confidence: 99%

A Robust Image Authentication Method Based on Wavelet Transform and Teager Energy Operator

Hsieh¹

2010

IJMA

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“…The correlations are 0.7414 and 0.6840, respectively. The extracted watermarks are still recognizable after image cropping from the proposed watermarking approach; the extracted results are much better than that of the method proposed by Cho et al [11].…”

Section: Robustness To Cropping Attacksmentioning

confidence: 73%

“…DCT-based methods are suitable to embed pseudo random numbers as watermarks; however, watermark embedded in DCT coefficients seems to be easily lost [11]. Recently, the discrete wavelet transform (DWT) has been used to hide data in the frequency domain [2,7,8].…”

Section: Introductionmentioning

confidence: 99%

Wavelet-based Color Image Watermarking using Adaptive Entropy Casting

Hsieh

Tseng

2006

2006 IEEE International Conference on Multimedia and Expo

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An adaptive robust image watermarking technique for color image authentication is proposed. In the proposed approach, the Y channel of a Yuv color host image and a concatenated RGB color-image watermark are decomposed into wavelet coefficients. The contextual entropies of the host wavelet coefficients are computed by a log-sum entropy measurement. Then the watermark wavelet coefficients are embedded into the host wavelet coefficients with larger entropy in the corresponding wavelet subbands. An adaptive casting strategy is utilized to embed the watermark coefficients for fully controlling the imperceptibility of watermarked images and the robustness of watermarks. The experimental results show that the proposed approach provides extra robustness against JPEG-compression and image-processing attacks; moreover, the proposed approach has no need of the original host image to extract watermarks.

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“…An extensive literature review in [12] shows multiple watermarking of medical images aims to provide a unified approach to different healthcare applications and is quite a creative concept. The watermarking methods can be distinctly classified as transform domain techniques [4][5][6], spatial domain [7,8], selectable domain techniques [9], and combinational domain techniques [10]. One special approach is inserting an encrypted electronic patient record in the LSB of pixels' gray level [11].…”

Section: Introductionmentioning

confidence: 99%

“…To increase robustness of spatial domain techniques, wavelet-based watermarking methods exploit the frequency and spatial information of the transformed data in multiple resolutions. Currently applied wavelet-based digital watermarks are found in [4][5][6][12][13][14][15]. The advantages of the wavelet transform compared to the discrete cosine transform (DCT) and the discrete Fourier transform (DFT) are discussed in details elsewhere [15].…”

Section: Introductionmentioning

confidence: 99%

A contextual based double watermarking of PET images by patient ID and ECG signal

Nambakhsh

Ahmadian

Zaidi

2011

Computer Methods and Programs in Biomedicine

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Abstractc o m p u t e r m e t h o d s a n d p r o g r a m s i n b i o m e d i c i n e 1 0 4 ( 2 0 1 1 ) [418][419][420][421][422][423][424][425] j o u r n a l h o m e p a g e : w w w . i n t l . e l s e v i e r h e a l t h . c o m / j o u r n a l s / c m p b A contextual based double watermarking of PET images by patient ID and ECG signal a b s t r a c tThis paper presents a novel digital watermarking framework using electrocardiograph (ECG) and demographic text data as double watermarks. It protects patient medical information and prevents mismatching diagnostic information. The watermarks are embedded in selected texture regions of a PET image using multi-resolution wavelet decomposition.Experimental results show that modifications in these locations are visually imperceptible. The robustness of the watermarks is verified through measurement of peak signal to noise ratio (PSNR), cross-correlation (CC%), structural similarity measure (SSIM) and universal image quality index (UIQI). Their robustness is also computed using pixel-based metrics and human visual system metrics. Additionally, beta factor (ˇ) as an edge preservation measure is used for degradation evaluation of the image boundaries throughout the watermarked PET image. Assessment of the extracted watermarks shows watermarking robustness to common attacks such as embedded zero-tree wavelet (EZW) compression and median filtering.© 2010 Elsevier Ireland Ltd. All rights reserved. IntroductionThe huge amounts of acquired digital medical images in hospitals are usually stored in a database along with the demographic text data and the bio-signals of patients. Unauthorized tampering, mismatching and mishandling of information are problems with such data in large databases. Additionally, exchange of bio-signals, demographic texts and medical images between hospitals needs efficient and reliable transmission and storage techniques. Moreover, storing different information of a patient in separate files increases the risk of mismatching and diagnostic mistakes. Unauthorized * Corresponding author. viewing of patients' healthcare information is one of the main concerns in hospital information systems. Recently, watermarking has been an active area of research for strengthening healthcare information security. Generally, watermarking algorithms have been aimed to protect digital images by hiding information into them. The main advantage of watermarking is information invisibility and anonymity. Authentication is considered a genuine application for them. A large number of watermarking techniques for medical images are available in literature which almost most of them focus on two areas, namely, tamper detection and authentication, and electronic patient record (EPR) embedding in medical images. Significantly, embedding of EPR or metadata 0169-2607/$ -see front matter

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Enhancement of robustness of image watermarks embedding into colored image, based on WT and DCT

Cited by 10 publications

References 10 publications

A Robust Image Authentication Method Based on Wavelet Transform and Teager Energy Operator

A Robust Image Authentication Method Based on Wavelet Transform and Teager Energy Operator

Wavelet-based Color Image Watermarking using Adaptive Entropy Casting

A contextual based double watermarking of PET images by patient ID and ECG signal

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