Title :
Fractal video coding by matching pursuit
Author :
Gharavi-Alkhansari, Mohammad ; Huang, Thomas S.
Author_Institution :
Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
Abstract :
Fractal image and video coders use redundancies present in different scales of natural images for compression. Motion compensation, on the other hand, is a powerful method for exploiting similarities at the same scale in frames of a video sequence. In this paper, a new method is proposed to take advantage of both interscale and intrascale self-similarities present in video sequences. A rate-distortion optimized orthogonal matching pursuit algorithm is used to seamlessly combine motion compensation and fractal techniques into an efficient video coding algorithm
Keywords :
data compression; fractals; image matching; image sequences; motion compensation; optimisation; rate distortion theory; redundancy; video coding; fractal video coding; image compression; interscale self-similarities; intrascale self-similarities; motion compensation; natural images; orthogonal matching pursuit algorithm; rate-distortion optimized algorithm; redundancy; video sequence; Dictionaries; Fractals; Image coding; Matching pursuit algorithms; Motion compensation; Optimization methods; PSNR; Pursuit algorithms; Video coding; Video sequences;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559457
