Title :
A new method for image coding in computer vision
Author :
Larrauri, Juan Ignacio ; Kahoraho, Evaristo
Author_Institution :
Dept. of Control & Industrial Electron., Univ. of Deusto, Bilbao, Spain
Abstract :
In this paper, a new lossless method for real time compression of still images in the field of the artificial vision, is presented. The proposed method is based on a new focus which incorporates the simultaneous execution of the acquisition and compression process of an image. The method consists of three processes. In the first one, a linear camera captures a line which is stored in memory. In the next step, the compression process of this line is executed at the same time as the acquisition process reads the next line. The process is repeated downwards starting from the upper line of the image. The novelty and main contribution of this method is in the compression process. A new coding algorithm is formulated and developed. The proposed method guarantees a ratio of compression of 3:1 with high probability and a real time execution.
Keywords :
computer vision; data compression; image coding; acquisition image process; artificial vision; coding algorithm; compression image process; compression ratio; computer vision; image coding; linear camera; lossless image compression; memory storage; Cameras; Computer vision; Data compression; Image analysis; Image coding; Image resolution; Image storage; Industrial electronics; Pixel; Predictive models;
Conference_Titel :
Video/Image Processing and Multimedia Communications, 2003. 4th EURASIP Conference focused on
Print_ISBN :
953-184-054-7
DOI :
10.1109/VIPMC.2003.1220443