DWT-DCT-SVD based intravascular ultrasound video watermarking

Abstract

Intravascular ultrasound (IVUS) is a medical imaging system, which uses a specially designed catheter equipped with a small ultrasound probing device at its distal end. This system allows the ultrasound signal to visualize the blood vessels from the inside and is capable of imaging the diseased vessels, measuring the dimension and composition of the plaque. IVUS is an efficient method for detecting various ischemie heart diseases. Presently considerable amount of work has been done in telemonitoring which involves the transmission of biomedicai signals through wireless media. Exchange of biomedicai signals amongst hospitals needs efficient and reliable transmission. Watermark is added "ownership" information in multimedia contents to prove authenticity, verify signal integrity, and achieve control over copy process. This paper proposes a novel session based blind watermarking method with secret key by embedding binary watermark images into IVUS video. The IVUS video is a sensitive diagnostic tool that is used to detect various cardio-vascular diseases by measuring and recording the anatomy of the heart and adjoined blood vessels in exquisite detail. The various anatomical minutiae of the heart and blood vessels are important characteristics which correspond to many severe human cardiac diseases. In this present work the entire video of IVUS is split into frames and application of Discrete Wavelet Transformation (DWT), Discrete Cosine Transformation (DCT) followed by Singular Value Decomposition (SVD) composes the watermark embedding technique. Watermark extraction is achieved by applying inverse DWT, inverse DCT and SVD. In this approach the generated peak signal to noise ratio (PSNR) of the original IVUS video signal vs. watermarked signal and the correlation value of the original watermark image and the extracted watermark image have a high acceptable level of imperceptibility and distortion.