Abstract
Infrared images are characterized by small signal-to-noise ratio and low contrast thus making it much difficult to achieve infrared image denoising and edge enhancement. The paper proposes a novel method based on wavelet diffusion, which reduces noise in infrared images while enhancing and preserving edges. First, wavelet modulus and local singularity are combined into a joint conditional model to build an elementary edge map, then the edge map are updated with geometric consistency for better discrimination of edges. To enhancing edges simultaneously, forward and backward diffusion technique is introduced into wavelet diffusion. Finally, the equation of forward and backward diffusion is redesigned according to the new edge map. Experimental results demonstrate that the new proposed method can effectively realize infrared image denoising and edge enhancement.
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