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�������պ����ѧѧ�� 2010, Vol. 36 Issue (3) :368-372    DOI:
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Integer algorithm of lapped biorthogonal transform compression method with GPU
Yu Zhuo, Liang Xiaohui, Ma Shang, Shen Xukun*
State Key Lab of Virtual Reality Technology and Systems, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� Compression/Decompression of huge terrain data is an important component of GC(Geometry Clipmap) method which has significant impact on rendering speed. Integral lapped biorthogonal transform(binLBT) method was used to reduce the complexity of computation by converting float point operations which spent lots of time in LBT method to integer operations and shift operations. In order to avoid the condition the data bigger than memory in graphic card, the method divided the data into some pitches which fit the memory and load one pitch each time, and then used CUDA(compute unified device architecture) to accomplish binLBT step which supports the parallel features of GPGPU(general purpose computing on graphics processing units). Experiment results show that this method based on binLBT by GPU can improve the efficiency of compression/decompression of huge terrain data and accelerate the rendering speed of GC.
Keywords�� binLBT(integral lapped biorthogonal transform)   compression/decompression   Geometry Clipmap   GPGPU(general purpose computing on graphics processing units)     
Received 2009-05-18;

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Yu Zhuo, Liang Xiaohui, Ma Shang, Shen Xukun .Integer algorithm of lapped biorthogonal transform compression method with GPU[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2010,V36(3): 368-372
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