无需标定和运动信息，单图即可高效校正红外图像非均匀性与噪声。
ADMIRE: a locally adaptive single-image, non-uniformity correction and denoising algorithm: application to uncooled IR camera
- 基于局部自适应对比度调节与先进去噪方法的混合算法。
- 仅用一张图像即可有效矫正完全非线性的非均匀性及噪声。
- 计算量低、无伪影，适合实时处理和无标定场景。
我们提出一种新的方法，用于校正未制冷红外图像中的非均匀性（NU）和噪声。该方法适用于静态图像，无需图像配准、相机运动或非均匀性模型。所提方法结合自动局部自适应对比度调整与最先进的图像去噪技术，仅需一张图像即可高效校正完全非线性的非均匀性和噪声。我们在真实原始数据和模拟非均匀性红外图像上与总变差（Total Variation）方法进行了比较。该方法优势在于结构简单、计算成本低，无需测试图案或标定，且不会产生“鬼影伪影”。
原文摘要 · Abstract (English)
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".
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