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Abstract
In order to solve complex algorithm that is difficult to achieve real-time processing of Multiband image fusion within large amount of data, a real-time image fusion system based on FPGA and multi-DSP is designed. Five-band image acquisition, image registration, image fusion and display output can be done within the system which uses FPGA as the main processor and the other three DSP as an algorithm processor. Making full use of Flexible and high-speed characteristics of FPGA, while an image fusion algorithm based on multi-wavelet transform is optimized and applied to the system. The final experimental results show that the frame rate of 15 Hz, with a resolution of 1392 × 1040 of the five-band image can be used by the system to complete processing within 41ms.
Highlights
Image fusion which is a branch of the data fusion consolidates two or more source images come from complementary band sensors, and is an image processing method which makes the useful information integrated into a unified image for observation or further more accurately full recognition, analysis and judgment to the target or scene through some fusion system [1,2,3]
In order to solve complex algorithm that is difficult to achieve real-time processing of Multiband image fusion within large amount of data, a real-time image fusion system based on FPGA and multi-DSP is designed
The final experimental results show that the frame rate of 15 Hz, with a resolution of 1392 × 1040 of the five-band image can be used by the system to complete processing within 41ms
Summary
Image fusion which is a branch of the data fusion consolidates two or more source images come from complementary band sensors, and is an image processing method which makes the useful information integrated into a unified image for observation or further more accurately full recognition, analysis and judgment to the target or scene through some fusion system [1,2,3]. Due of very limited data information conveyed of a single band, which is often difficult to meet the demand, Multisensor image fusion has the information that single source image can’t be captured, that is Complementary between of multisource image. Multi-source image fusion can obtain information from multiple viewpoints of expand of sensing range of time and space, to improve the accuracy and robustness of observation. How to design a reasonable real-time image fusion hardware system is a prerequisite, and a suitable image fusion algorithm image fusion system is
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