Wavelet image compression--the quadtree coding approach.
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.
Munteanu
A
A
Electronics and Information Processing Department, Vrije Universiteit Brussel, Belgium.
Cornelis
J
J
Van der Auwera
G
G
Cristea
P
P
D000465:Algorithms; D017216:Telemedicine