title: Medical image compression using 3-D Hartley transform.
abstract: In this paper, 3-D discrete Hartley transform is applied for the compression of two medical modalities, namely, magnetic resonance images and X-ray angiograms and the performance results are compared with those of 3-D discrete cosine and Fourier transforms using the parameters such as PSNR and bit rate. It is shown that the 3-D discrete Hartley transform is better than the other two transforms for magnetic resonance brain images whereas for the X-ray angiograms, the 3-D discrete cosine transform is found to be superior.
authors: Faculty of Information Technology, Center for Multimedia Computing, Multimedia University, Cyberjaya, Malaysia. shyam.sunder@mmu.edu.my
authors: R
authors: R
authors: Shyam Sunder
authors: C
authors: C
authors: Eswaran
authors: N
authors: N
authors: Sriraam
mesh_terms: D000465:Algorithms; D000792:Angiography; D001921:Brain / Q000033:anatomy & histology; D044962:Data Compression / Q000379:methods*; D005583:Fourier Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging