We propose a coding algorithm for still images using fractal approximation and vector quantization (VQ). The conventional fractal coding algorithms indirectly used the gray patterns of an original image with contraction mapping, whereas the proposed fractal coding method employs a previously approximated image as a domain pool and uses its gray patterns. Thus, the proposed algorithm employs fractal approximation without the constraint of contraction mapping. To approximate an original image, we use an orthogonal polynomial transform and to encode the transform coefficients we employ VQ. Also, for variable block-size segmentation, we use the fractal dimension that represents the similarity of regions in a block and the roughness of the gray surface of a region. Computer simulations with several test images show that the proposed method shows better performance than the conventional fractal coding methods for encoding still pictures.<>
Image coding based on fractal approximation and vector quantization
Proceedings of 1st International Conference on Image Processing ; 3 ; 132-136 vol.3
1994-01-01
413301 byte
Conference paper
Electronic Resource
English
Image Coding Based on Fractal Approximation and Vector Quantization
British Library Conference Proceedings | 1994
|Parameter Quantization in Fractal Image Coding
British Library Conference Proceedings | 1994
|Parameter quantization in fractal image coding
IEEE | 1994
|An image zooming technique based on vector quantization approximation
British Library Online Contents | 2005
|Efficient address vector quantization based image coding scheme [2451-27]
British Library Conference Proceedings | 1995
|