动态真实感自然景物图象的生成模型

Wavelet Transform and Its Characteristics Analysis in Image Processing

提出了一种计算机图象生成模型，利用预测加伪随机噪声的方法实现几何造型及模拟光学模型，生成了可控宏观结构且具有丰富微观结构的真实感自然景物图象，例如云、水域、草地及山体等。该模型的特点是运算量少，几何造型与光照明计算均用同一模型产生，简化了仿真过程。

Wavelet transform is a new powerful tool developed in recent years,which includes mathmatics、scientific computation and signal processing.Its key is multiresolution analysis.This paper completely reviews the process of the wavelet development as multiresolution tool、difinition of wavelet transform、wavelet decompositions of signals and images、and the multiscale、local time frequency and orientation characteristics of multiresolution image decomposition and so on.