Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
504646 | Computerized Medical Imaging and Graphics | 2007 | 7 Pages |
Abstract
In this paper, we propose a way of using multiple domain analysis methodology to speed up the image rendering process. We first apply wavelet transform to the original image, and then compress the wavelets in the frequency domain using histogram equalization techniques. When rendering the image, we uncompress the wavelets and reverse predict the upper level images. This process continues until it reaches a certain criteria. We use two terms-total image size (TIS) and total loading time (TLT) to measure the performance of level of detail (LOD) in a network environment. We compare traditional image-based LOD methods with the new method we are proposing. Experiments show that the proposed method can reduce both TIS and TLT. The image rendering speed on a remote client is approximately 2.5 times faster than the common image compression methods. Applications such as remote diagnostic systems and online museums can use this technique to achieve better real-time animation effects.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Shuangbao Wang, Zegang Dong, Robert S. Ledley,