title: Symmetry-Based Biomedical Image Compression.
abstract: Image compression techniques aim at reducing the amount of data needed to accurately represent an image, such that the image can be economically transmitted or archived. This paper deals with employing symmetry as a parameter for compression of biomedical images. The approach presented in this paper offers great potential in complete lossless compression of the biomedical image under consideration, with the reconstructed image being mathematically identical to the original image. The method comprises getting rid of the redundant data and encoding the non-redundant data for the purpose of regenerating the image at the receiver section without any observable change in the image data.
authors.affiliation: Department of E&TC, AISSMS's Institute of Information Technology, Pune, India. vbairagi@yahoo.co.in.
authors.forename: V K
authors.initials: VK
authors.lastname: Bairagi
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D003952:Diagnostic Imaging; D006801:Humans
keywords: Biomedical image compression; Diagnostic ability; Redundancy; Symmetry