关键词: 图像融合 并行算法 数据划分 负载均衡 冗余划分 遥感

Abstract:

With the rapid development of the remote sensing technology, fast fusion of digital images from disparate sources has become critical to the success o   f these endeavors. In this paper, to speedup the fusion process, a Parallel Fusion Algorithm based on Dual-Tree Complex Wavelet Transform （PACWT for shhort） of remote sensing images is presented for the first time. To overcome the limitations on the memory space as well as the computing capability of  a single processor, data distribution, data-parallel processing and load balancing techniques are integrated into PACWT. To avoid the inherent communic  ation overhead of the complex-wavelet-based fusion method, a special design called redundant partitioning is used, which is inspired by the characterist  ics of complex wavelet transform. Finally, PACWT is evaluated in theory and tested on a 32-CPU cluster of workstations. The experimental results show th at our algorithm has good parallel performance and scalability.

Key words: image fusion, parallel algorithm, data distribution, load balancing, redundant partitioning, remote sensing