Robust and imperceptible color image watermarking for telemedicine applications

Upadhyay, Ashutosh; Dave, Mayank

doi:10.1109/ccaa.2016.7813881

Cited by 6 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…V. S. Verma and R. K. Jha, are published paper on robust digital image watermarking, this paper presents a thorough literature review of how to avoid different categories of attacks with robust digital image watermarking applied in various types of images [8]. A. Upadhyay and M. Dave, are presented paper on color image watermarking for medical applications, in this paper they applied Discrete Wavelet Transform (DWT) up to the second level of decomposition as watermarking technique to the color images [11]. S. Rawat, and B. Raman, are published paper on combination of watermarking algorithm and cryptography techniques, in this paper they proposed how effectively embed a digital watermark in an image based on the fast discrete cosine transform (DCT) algorithm without disturbing the original image and explained how effectively encrypting is carried out [13].…”

Section: Introductionmentioning

confidence: 99%

A New Watermarking Scheme for Medical Images with Patient’s Details

Nagaraju¹,

Pardhasaradhi²,

Ghali³

2018

IJET

View full text Add to dashboard Cite

A brain tumor is a mass of cells in your brain that are not normal.Some brain tumors contain cancer and others don't: Brain tumor include both, benign and malignant forms. Benign brain tumors don't have cancer cells. Malignant brain tumors have cancer cells. Differentiating malignant and benign cases is a hard task even for experienced specialists. This work presents how to extract the characteristics and features of tumor image by general segmentation methods for malignant risk computation and presents the use of digital watermarking for applications of automated tumor image analysis. Here personal information such as name, age, gender, location, ADHAAR number, contact number etc., and tumor information such as tumor types, area of the tumor, severity, and any other useful information are embedded to the tumor image. Encrypting that image with well-known encryption algorithms is also possible to avoid unnecessary nuisance from information hackers.

show abstract

Section: Introductionmentioning

confidence: 99%