关键词: 图像去噪, 各向异性扩散方程, 机群, 并行算法, 混合模型

Abstract: According to the shortcomings of the anisotropic diffusion equation denoising model such as intensive calculations ,time consuming, affecting the realtimeness, etc, a full use of parallelism knowledge is made to put forward an effective solution.Based on the idea of the anisotropic diffusion equation denoising model, we design a cluster of workstations and divide the noise image into overlapping strips to realize the twolevelparallel strategies：the intranode cluster using shared memory structure, the internode cluster using the distributed memory structure,the optimal combination of the two is used to achieve the parallel structure.Finally an effective hierarchical parallel algorithm for denoising images is proposed.The test result shows that , based on the hybridmodel parallel environment, the operating efficiency of the algorithm can be greatly enhanced,and the running time can be greatly reduced, meanwhile the comparable denoising quality can still be obtained.

Key words: image denoising;anisotropic diffusion equation;cluster;parallel algorithm;hybrid model