This paper focuses on preprocessing methods for the infrared images. Due to noises, low contrast and local difference of
materials, Forward-looking Infrared targets have a great difference of local gray levels. Such different gray levels add the
difficulty of targets detection and may lead a decrease in accuracy and rate of detection in Gray-based template
matching. To overcome the difficulty, we present a novel preprocessing method based on non-subsampled contourlet
transform (NSCT) which is good at multi-direction and multi-scale. This method firstly do Non-subsampled contourlet
transform to infrared images. The level of decomposition is decided by the size of the template which is considered as
the basic structure and the directions of decomposition are chosen by the imaging angles. Then we reconstruct the image
according to the coefficients of the decomposition. Experiments based on template matching in forward-looking infrared
images show that the proposed preprocessing method based on NSCT can significantly improve the detection rate (DR)
and the stability. Experimental results also show that our proposed method has better performance than some other
preprocessing methods.
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