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红外图像去噪的新方法采用了平滑约束计算机视觉问题的变形模型，并根据红外图像的成像特点，提出了用变形模型的空间变化尺度因子，去控制红外图像的平滑去噪操作，使得去噪处理具有良好的保边缘性能。对于由红外成像光敏元响应非均匀性或瞎元引起的成像干扰点，该方法具有插值补断的能力。模拟实验结果验证了该方法的有效性
The new method of denoising infrared image adopts the deformation model of the computer vision problem with smooth constraint. According to the imaging characteristics of the infrared image, the spatial scale factor of the deformation model is proposed to control the smoothing and de-noising operation of the infrared image, Handling has a good margin edge performance. This method has the ability to interpolate and interpolate for the point of imaging interference caused by infrared imaging photosensors inhomogeneities or blind pixels. Simulation results verify the effectiveness of this method