We present a new algorithm for rescaling images inspired by fractal coding. It uses a statistical model of the relationship between detail at different scales of the image to interpolate detail at one octave above the highest spatial frequency in the original image. We compare it with Bspline and bilinear interpolation techniques and show that it yields a sharper looking rescaled image.

Vector quantisation, a widely used technique in low-bit rate coding of speech signals, is highly sensitive to errors in the transmitted codeword caused by noise in the transmission channel. This paper describes an e cient index assignment algorithm, based on Hall's solution to the quadratic assignment problem, used to re-order the codebook such that the e ect of transmission errors is minimised...

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 a...

The development of a pattern recognition architecture based on vector quantization techniques is presented which is applied to the recognition of handwritten bank forms. After an overview of nearest-neighbor classiication and clustering, a fast completely binary version of the k-means algorithm is introduced and results for large character databases are given. An integration of these methods in...

A Bayesian estimation problem is considered, in which the observation is a vector-valued, continuous-time stochastic process of the ‘signal-plus-white-noise’ variety and approximations based on sampling and quantisation of this process are developed. The problem includes continuous-time nonlinear lters, interpolators and extrapolators as special cases. The e ect of quantisation is characterised...

In this paper, we provide a review of LPC parameter quantisation for wideband speech coding as well as evaluate our contributions, namely the switched split vector quantiser (SSVQ) and multi-frame GMM-based block quantiser. We also compare the performance of various quantisation schemes on the two popular LPC parameter representations: line spectral frequencies (LSFs) and immittance spectral pa...

Colour-based retrieval is one of the major content-based retrieval techniques. The main idea used for colour based retrieval techniques is to store the image in terms of a colour map which has a nite set of colour bins. An eecient retrieval scheme should preserve all the distinct colours of an image with a small number of colour bins. Uniform Quantisation is one of the major quantisation techni...