title: Wavelet transform domain data embedding in a medical image.
abstract: In this work, we propose a wavelet-based technique for embedding medical data in a medical image. In the spectral domain, the patient data are embedded into the wavelet coefficients of the host image. A diagnostic distortion measure (DDM) has been defined to measure the visible distortions between the original image and the embedded image. The performance of the DDM has been compared with the standard PSNR characteristics. The results show that DDM not only captures the distortions for different quantities of embedded data but also can quantify the differences when the same data are embedded at different subbands. The embedment of data into the mid and high frequency subbands of the host image show lower values of DDM and higher values of PSNR.
authors.affiliation: Biomed. Eng. Res. Center, Nanyang Technol. Univ., Singapore.
authors.forename: S
authors.initials: S
authors.lastname: Dandapat
authors.forename: J
authors.initials: J
authors.lastname: Xu
authors.forename: Opas
authors.initials: O
authors.lastname: Chutatape
authors.forename: S M
authors.initials: SM
authors.lastname: Krishnan