KEYWORDS: Image fusion, Digital signal processing, Video, Image processing, Wavelet transforms, Wavelets, Data processing, Algorithm development, Standards development, Video processing
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.
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