Title :
An efficient bath fractal transform-based image coding technique
Author :
Kumar, Sunil ; Rao, K. Nageshwar ; Mishra, R.R. ; Jain, R.C.
Author_Institution :
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
11/1/1998 12:00:00 AM
Abstract :
A computationally efficient image compression technique is presented, which is based on visual patterns as well as least squares fractal approximation by a self-affine system (SAS). Simulation studies demonstrate that the use of visual pattern-based technique can code the shade (flat) regions of an image more efficiently than fractal techniques. Furthermore, the proposed technique not only gives an encoding speed several times faster than other SAS-based fractal coding techniques but also achieves higher compression ratios and better fidelity
Keywords :
data compression; fractals; image coding; image reconstruction; least squares approximations; transform coding; compression ratios; efficient bath fractal transform; encoding speed; flat regions; fractal coding; image coding; least squares fractal approximation; reconstructed image quality; self affine system; shade regions; simulation; visual patterns; Computational modeling; Fractals; Image coding; Image processing; Least squares approximation; Signal processing; Synthetic aperture sonar; Tiles; Video compression; Videoconference;
Journal_Title :
Consumer Electronics, IEEE Transactions on