A novel approach to audio signal compression is described which marries wavelet transform coding with fractal-based compression techniques. The signal is divided into frames which are subjected to a Fast Wavelet Transform, with subsequent fractal coding of high frequency wavelet coeecients using a collage approach. Results from initial implementations are examined. Compression ratios above 6:1 ...

A novel hybrid scheme combining fractal image compression with mean-removed shape-gain vector quantization is presented. The scheme uses a small set of VQ codebook blocks as a block classiier for the domain blocks and as an alternative means of coding when able to provide a satisfying distortion. Our scheme is shown to improve the performance of conventional fractal coding in all its aspects. T...

A novel hybrid scheme combining fractal image compression with mean-removed shape-gain vector quantization is presented. The scheme uses a small set of VQ codebook blocks as a block classi er for the domain blocks and as an alternative means of coding when able to provide a satisfying distortion. Our scheme is shown to improve the performance of conventional fractal coding in all its aspects. T...

The fractal image coding technique has attracted a degree of interest for its low bit rate. But the reconstructed image is of medium quality. This problem has prevented the fractal technique from being practically used. In order to improve the compression fidelity, a new affine transformation is proposed in this paper. Meanwhile, its contractivity requirement is analyzed, and the optimal parame...

The fractal coding algorithm partitions the original image into a number of blocks. Then each block is coded by obtaining the information of the contractive transformations for the block. There are many methods of partitioning an image based on squares and rectangles such as xed-size partitioning, quad-tree partitioning, and HV partitioning. In this paper, we propose an alternating binary-tree ...

This paper presents a method for lossy coding of still pictures using the theory of iterated function systems (IFS) which is a standard description for deterministic fractals. The coding concept is based on a blockwise fractal approximation of the original image by contraction mappings of itself using affine transformations which are a special case of IFSs. Data reduction is achieved by exploit...

The compression performance of fractal image coding is considered using the wavelet-based fractal coder with no search or classi cation of the domain blocks. A new partitioning scheme is introduced as a variant of earlier schemes which further improves the compression performance. The Wavelet-Based Fractal Transform (WBFT) links the theory of multiresolution analysis (MRA) with iterated functio...