Parallel lossless image compression using Huffman and arithmetic coding
Information Processing Letters
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
A CUDA-supported approach to remote rendering
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
SHARC: A scalable 3D graphics virtual appliance delivery framework in cloud
Journal of Network and Computer Applications
Cloudlet-screen computing: a client-server architecture with top graphics performance
International Journal of Ad Hoc and Ubiquitous Computing
| Hi-index | 0.00 |
In this paper we introduce a novel GPU-supported JPEG image compression technique with a focus on its application for remote visualization purposes. Fast and high quality compression techniques are very important for the remote visualization of interactive simulations and Virtual reality applications (IS/VR) on hybrid clusters. Thus the main goals of the design and implementation of this compression technique were low compression times and nearly no visible quality loss, while achieving compression rates that allow for 30+ Frames per second over 10 MBit/s networks. To analyze the potential of the technique and further development needs and to compare it to existing methods, several benchmarks are conducted and described in this paper. Additionally a quality assessment is performed to allow statements about the achievable quality of the lossy image compression. The results show that using the GPU not only for rendering but also for image compression is a promising approach for interactive remote rendering.