Title :
Multiple watermarks for medical image based on DWT-DFT
Author :
Jingbing Li ; Mengxing Huang ; Wencai Du ; Yen-Wei Chen
Author_Institution :
Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
Abstract :
It is desirable to embed multiple diagnosis results into one medical image. This paper proposes an algorithm of robust multiple watermarks to serve these purposes using DWT and DFT. A part of sign sequence of DWT and DFT coefficients are used as feature vector for enhancing the robustness against JPEG compression, Gaussian noise, and cropping attacks. Moreover, the content of medical image remains unchanged with our proposed algorithm which is one kind of the zero-watermarking technology. We describe how to extract the feature vector of medical image, and then, embed and extract the multiple watermarks. The results of experiment indicate that the watermark scheme has strong robustness.
Keywords :
discrete Fourier transforms; discrete wavelet transforms; image watermarking; medical image processing; DWT-DFT; Gaussian noise; JPEG compression; cropping attacks; feature vector; medical image; multiple diagnosis results; robust multiple watermarks; zero-watermarking technology; DFT; DWT; medical image; multiple watermarks;
Conference_Titel :
Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0894-6