A Strategy of Compressed Volume Rendering for Large Scale Volume Data
Volume data should be compressed due to the limitation of video memory and bandwidth from local memory to video memory- during the GPU-based visualization of large scale volume data. Traditional ways that compressed data should be transmitted into local video memory and then be decompressed completely before rendering enhances the data transfer rate. But its not a fundamental solution to the problem of the video memory limitation. A compressing and rendering strategy for large scale volume data was proposed. Volume data is compressed by combining wavelet transform and vector quantization algorithm and rendered by GPU based ray casting algorithm. During the rendering step, only the current rendering needed data is decompressed and transformed, and the real-time interactive rendering is realized by level of detail (LOD). Experimental results based on CUDA show that this strategy solves the problem of video memory limitation effectively, and better image quality can be obtained under the premise of ensuring the rendering frame rate.
Volume Rendering Wavelet Transform Vector Quantization Multiresolution Level of detail
Degui Xiao Lei Li Yang Zhang
College of Information Science and Engineering Hunan University Changsha, China 410082
国际会议
海口
英文
565-568
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）