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

机译:梅花形采样提升方案与基于小型实时DSP的系统的图像融合

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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.
机译:提出了一种结合梅花形采样提升小波变换和区域边缘变化融合策略的图像融合方法。提升小波变换可以实现快速计算,无需辅助存储,可以实现积分小波变换。梅花形采样采用适合视觉系统的方案,并具有非矩形分割光谱。 Quincunx采样提升方案是可分离的小波,结合了它们的两个优点。此外,低频图像水平,垂直,对角线边缘变化的融合策略可以保留源图像的对象完整性。同时,计算了算法的复杂度和系统的输入/输出,然后显示了以TMS320DM642 DSP为核心处理器的小型集成双光谱图像融合系统。介绍了功能,原理,结构和高速电路PCB设计的硬件设计,同时介绍了该融合平台的软件设计方法和实现。双光谱图像实时融合系统具有高性能和小板尺寸,为将来的应用奠定了坚实的基础。

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