We propose a new way to correct for the non-uniformity (NU) and the noise in uncooled infrared-type images. This method works on static images, needs no registration, no camera motion and no model for the non uniformity. The proposed method uses an hybrid scheme including an automatic locally-adaptive contrast adjustment and a state-of-the-art image denoising method. It permits to correct for a fully non-linear NU and the noise efficiently using only one image. We compared it with total variation on real raw and simulated NU infrared images. The strength of this approach lies in its simplicity, low computational cost. It needs no test-pattern or calibration and produces no "ghost-artefact".

翻译：我们提出了一种校正非制冷红外图像中非均匀性与噪声的新方法。该方法适用于静态图像，无需配准、无需相机运动且无需非均匀性模型。所提出的方法采用混合方案，结合了自动局部自适应对比度调整与先进的图像去噪技术。该方法仅需单幅图像即可高效校正完全非线性的非均匀性及噪声。我们在真实原始及模拟非均匀性红外图像上将其与全变分方法进行了比较。该方法的优势在于其简洁性、低计算成本，无需测试图案或校准，且不会产生"鬼影伪影"。