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Polynomial Image Coding with Vector Quantised Error Compensation (1995)
| Content Provider | CiteSeerX |
|---|---|
| Author | Bethel Bethel, D. M. Monro, D. M. |
| Description | In: Proceedings of ICASSP-1995 IEEE International Conference on Acoustics, Speech and Signal Processing This resembles a fractal transform, and the coefficient values can be calculated using a least squares fit as done by Monro [3] for fractals. The major difference from fractals is that the block(x,y) values are predetermined, and therefore to render the image there is no need for the iteration associated with fractals. The RIBs are effectively the difference between the polynomial coded image and the original. Since the RIBs are taken from the image the method is still fractal in that it depends on a degree of self-similarity in the error to make the method work. We report a novel image coder which is a hybrid of fractal coding and vector quantisation. Image blocks are approximated by polynomial functions, and the residual image blocks (RIBs) are coded by vector quantisation into a code book which is small enough to transmit with an image. The method is evaluated on a number of parameters, and the results are found to be intermediate between fractal and JPEG coding in their rate/disto... |
| File Format | |
| Language | English |
| Publisher Date | 1995-01-01 |
| Access Restriction | Open |
| Subject Keyword | Image Block Polynomial Image Coding Fractal Coding Fractal Transform Polynomial Function Code Book Novel Image Coder Error Compensation Major Difference Method Work Rate Disto Vector Quantisation Coefficient Value Residual Image Block Square Fit |
| Content Type | Text |
| Resource Type | Article |