基于小波变换的虚拟现实场景中的图像处理

提出一种基于小波分析理论的虚拟现实场景中的图像处理方法 ,旨在对用于景物表面的纹理贴图或背景图像进行小波分解 ,在量化编码中以视点与图像的距离作为度量 ,选取一系列不同的阈值对图像进行压缩处理 ,从而得到一系列不同质量的图像 ,然后在虚拟现实场景中根据视点与景物的距离调用不同级的图像文件 .此方法对于降低系统负荷 ,提高图像的实时显示速度有一定的价值

Image processing in the virtual reality scene based on wavelet transform

An image processing method of virtual reality scene based on wavelet analyzing theory,is proposed. This method aims at to carry on wavelet de-composition for scenery lamination pinup image of surface, regardin g distance between view point and image as the standard of the quantization codi ng, choosing a series of different threshold values compress images, so as to receive a series of different images of quality. Then different image files of grade at random are transfered according to the distance between view point and the scenery in the virtual reality scene. This method have some certain value fo r reducing systematic load and raising showing speed in real time.