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No abstract

Infrared thermal imager has been widely used in the fields of missile guidance and flaw detection. To identify the target clearly, the advanced one adopts dual bands sensors to capture images. Since of that, there is an urgent need of a fusion of the dual-bands images. The fused result includes much more exhaustive information than any single one, and can better reflect the actual. Among the algorithms used to fuse the dual-band infrared images, the weighted algorithm is the most widely used and easiest to be achieved. Nonetheless, its effect is not desired. We extract the features of the source images and make a fuse based on them on the feature-level. To get a better result, in this paper, the fusion strategy based on the Gradient pyramid transform has been mainly adopted. Meanwhile, there is a comparison with the weighted algorithm. Also, it makes an evaluation and analysis to the experimental data, and finally obtains the desired results.

Because of the poor real-time performance of in-place fast Fourier transforms, a reconfigurable radix-4 FFT processor is studied and designed, which is based on decimation-in-time and single floating-point computation. The proposed method adopts “pipeline and parallel” structure for accessing multiple memories to improve the FFT processing speed, and then it is applied to digital pulse compression. The experimental result shows that the proposed FFT based on radix-4 computation can implement digital pulse compression rapidly under no adding hardware resources. The proposed method can be also applied to other radix FFTs.

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