To avoid error, it is helpful to model the distribution of the scale factors and quantize them before the computation process by iterated function systems.

To avoid error, it is helpful to model the distribution of the scale factors and quantize them before the computation process by iterated function systems.

We introduce a wavelet-based framework for analyzing fractal block coders which simplifies these schemes considerably. We show that fractal block coders are ...

Adaptive self-quantization in wavelet-based fractal image compression. Bing-Fei Wu² , Yi-Qiang Hu² and Hung-Hseng Hsu². Finding a model to quantize the scale ...

In section 5 we describe an adaptive self-quantized subtree compression scheme which is a generalization of a wavelet compression scheme of [17], and in section ...

Adaptive Self-Quantization of Wavelet Subtrees: A Wavelet-Based Theory of Fractal Image Compression by Geoffrey M. Davis.

We prove that this self- quantization enables us to recover the fine scale wavelet coefficients of an image given its coarse scale coefficients. We show that ...

We introduce a wavelet-based framework for analyzing fractal block coders which simplifies these schemes considerably. We show that fractal block coders are ...

In this paper, we propose an integrated image compression method, which contains the discrete wavelet transform, scalar quantization and some lossless ...

This work introduces a new wavelet-based framework for analyzing block-based fractal compression schemes, and gives new insight into the convergence ...