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An infrared imaging sensor is sensitive to the variation of imaging environment, which may affect the image quality and blur the edges in an infrared image. Therefore, it is necessary to enhance the infrared image. To improve the image contrast and adaptively enhance image structures, such as edges and details, this paper proposes a novel infrared image enhancement algorithm in the shearlet transform domain. To avoid over-enhancing strong edges and amplifying noise in plateau regions, we linearly enhance the details on the high frequency components based on their structure information, and improve the global image contrast by non-uniform illumination correction on the low frequency component. Then we convert the processed low and high components into the spatial domain to obtain the final enhanced image. Experimental results show that the proposed algorithm could enhance the infrared image details well and produce few noise regions, which is very helpful for target detection and recognition.

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