ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
A new wavelet based logo-watermarking scheme
Pattern Recognition Letters
Digital watermarking based on chaotic map and reference register
Pattern Recognition
Reversible watermarking for knowledge digest embedding and reliability control in medical images
IEEE Transactions on Information Technology in Biomedicine
An adjusted-purpose digital watermarking technique
Pattern Recognition
Secure semi-blind watermarking based on iteration mapping and image features
Pattern Recognition
Spatial domain digital watermarking of multimedia objects for buyer authentication
IEEE Transactions on Multimedia
An Efficient Watermarking Method Based on Significant Difference of Wavelet Coefficient Quantization
IEEE Transactions on Multimedia
Wavelet-based low-delay ECG compression algorithm for continuous ECG transmission
IEEE Transactions on Information Technology in Biomedicine
Multiple Image Watermarking Applied to Health Information Management
IEEE Transactions on Information Technology in Biomedicine
Adaptive Fusion of Multimodal Surveillance Image Sequences in Visual Sensor Networks
IEEE Transactions on Consumer Electronics
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Image compression using the 2-D wavelet transform
IEEE Transactions on Image Processing
Morton (Z) scan based real-time variable resolution CMOS image sensor
IEEE Transactions on Circuits and Systems for Video Technology
Computer Methods and Programs in Biomedicine
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This 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 (@b) 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.