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Image fusion is a method of combining information from multiple images of same scene to get a composite image that is more suitable for human visual perception or further image processing task. In this paper we propose a fusion framework based on Non-Subsampled Contourlet Transform of infrared and visible images. The fused result contains the details of target present in the infrared image. For the identification and extraction of the target from the IR image the threshold and watershed algorithm is used so that only the relevant information from the IR image is introduced into the fused result so that the result becomes more accurate. A NLM filter is then used to denoise the fused image.

IMAGE FUSION USING NSCT: DENOISING AND TARGET EXTRACTION FOR VISUAL SURVEILLANCE