title: Wavelet image compression--the quadtree coding approach.
abstract: Perfect reconstruction, quality scalability, and region-of-interest coding are basic features needed for the image compression schemes used in telemedicine applications. This paper proposes a new wavelet-based embedded compression technique that efficiently exploits the intraband dependencies and uses a quadtree-based approach to encode the significance maps. The algorithm produces a losslessly compressed embedded data stream, supports quality scalability, and permits region-of-interest coding. Moreover, experimental results obtained on various images show that the proposed algorithm provides competitive lossless/lossy compression results. The proposed technique is well suited for telemedicine applications that require fast interactive handling of large image sets, over networks with limited and/or variable bandwidth.
authors.affiliation: Electronics and Information Processing Department, Vrije Universiteit Brussel, Belgium.
authors.forename: A
authors.initials: A
authors.lastname: Munteanu
authors.forename: J
authors.initials: J
authors.lastname: Cornelis
authors.forename: G
authors.initials: G
authors.lastname: Van der Auwera
authors.forename: P
authors.initials: P
authors.lastname: Cristea
mesh_terms: D000465:Algorithms; D017216:Telemedicine