RT Journal Article
T1 Multiresolution rendering based on GPGPU computing
A1 Lamas Rodríguez, Julián
A1 Argüello Pedreira, Francisco
A1 Blanco Heras, Dora
K1 Compressed volume rendering
K1 Texture mapping
K1 Multiresolution rendering
K1 Wavelet transform
K1 Quantization
K1 CUDA
K1 OpenGL
AB The problem of visualizing large volumetric datasets is appealing for computation on the GPU. Nevertheless, the design of GPU volume rendering solutions must deal with the limited available memory in a graphics card. In this work, we present a system for multiresolution volume rendering which preprocesses the dataset dividing it into bricks and generating a compressed version by applying different levels of compression based on wavelets. The compressed volume is then stored in the GPU memory. For the later visualization process by texture mapping each brick of the volume is decompressed and rendered with a different resolution level depending on its distance to the camera. This approach computes most of the tasks in the GPU, thus minimizing the data transfers among CPU and GPU. We obtain competitive results for volumes of size in the range between 64 and 256
PB Research Institute of Intelligent Computer Systems
SN 1727-6209
YR 2013
FD 2013
LK http://hdl.handle.net/10347/17718
UL http://hdl.handle.net/10347/17718
LA eng
NO Lamas-Rodríguez, J., Argüello, F., & Heras, D. (2014). MULTIRESOLUTION RENDERING BASED ON GPGPU COMPUTING. International Journal of Computing, 12(4), 298-307. Retrieved from http://computingonline.net/computing/article/view/609
NO This work was supported in part by the Ministry of Science and Innovation, Government of Spain, and FEDER funds under contract TIN 2010-17541, and by the Xunta de Galicia under contracts 08TIC001206PR and 2010/28. Julián Lamas Rodríguez acknowledges financial support from the Ministry of Science and Innovation, Government of Spain, under a MICINN-FPI grant
DS Minerva
RD 24 abr 2026