Title :
Quad-Tree based Two Source Image Coding
Author :
Farrelle, Paul M. ; Jain, Anil K.
Author_Institution :
Computer Vision Research Laboratory, U. C. Davis, Davis, CA 95616, USA
Abstract :
In this paper we describe an adaptation of our two source RBC algorithm[1] where we introduce a variable block size. The blocks are chosen to meet some uniformity criterion and are generated via a quad-tree segmentation of the image which allows the segmentation overhead to be coded very efficiently. The prediction component is improved over standard RBC prediction with a fixed block size and some images may be coded using the prediction alone. However it is more economical to also code the residual component for more detailed images.
Keywords :
Block codes; Code standards; Computer vision; Density functional theory; Economic forecasting; Filters; Image coding; Image segmentation; Karhunen-Loeve transforms; Laboratories;
Conference_Titel :
Military Communications Conference - Communications-Computers: Teamed for the 90's, 1986. MILCOM 1986. IEEE
DOI :
10.1109/MILCOM.1986.4805874