An image fusion of quincunx sampling lifting scheme and small real- time DSP-based system

摘要

An image fusion method using the quincunx sampling lifting wavelet transform combined with the fusion strategy of area edge change is put forward. Lifting wavelet transform can realize fast computation and no auxiliary memory, which could realize integral wavelet transform. Quincunx sampling adopts the scheme suitable for visual system and has the non-rectangle segmentation spectrum. Quincunx sampling lifting scheme, which is separable wavelet, combines both of their advantages. Furthermore, the fusion strategy of horizontal, vertical, diagonal edge change for low frequency image could reserve object integrality of source image. At the same time, the algorithm complexity and system Input/Output are calculated, after which the small integrated dual-spectral image fusion system with TMS320DM642 DSP as its kernel processor is then shown. As the hardware design of function, principle, structure and high speed circuit PCB design is presented, software design methods and implementation on this fusion platform are simultaneously introduced. The dual-spectral image real-time fusion system is built with high performance and small board dimensions, which lays a solid foundation for future applications.