Acta Optica Sinica, Volume. 29, Issue 1, 176(2009)
Real-Time Infrared Noise Reduction Based on Anisotropic Diffusion Method
An infrared noise reduction algorithm based on anisotropic partial differential equation is proposed. By combining morphological operations with infrared imaging local features, a new anisotropic coefficient is established. This coefficient gets gradient operator by morphological dilating and eroding, improves the sensibility of Perona-Malik (P-M) gradient, strengthens diffusion in homogeneous area and weakens diffusion in heterogeneous area. The algorithm has run on the EVM-DM642 hardware platform in real time, and experiments indicate the noise is smoothed out effectively, and the image edge is also preserved better.
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Wang Xianya, Chen Qian, Gu Guohua. Real-Time Infrared Noise Reduction Based on Anisotropic Diffusion Method[J]. Acta Optica Sinica, 2009, 29(1): 176