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Illumination Normalization Among Multiple Remote-Sensing Images

机译:多个遥感影像之间的照度归一化

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摘要

Changes of illumination have a huge effect on image quality during imaging process. One method that compares high and low resolution images to compute MTF in image quality assessment requires images to be in the same illumination conditions. Thus, it is necessary to do illumination normalization. This letter presents a novel method by combining gradient domain method and improved singular value equalization, which can achieve a good result of illumination normalization. The gradient domain method can bring the contrasts of multiple images to the same level while the improved singular value equalization can make their intensity means close to each other. We also suggest a parameter named p to assess the illumination consistency quantitatively. Experimental results demonstrate that the proposed method has a good performance in visualization and quantitative assessment.
机译:在成像过程中,照明的变化会对图像质量产生巨大影响。一种比较高分辨率图像和低分辨率图像以计算图像质量评估中的MTF的方法要求图像处于相同的照明条件下。因此,有必要进行照明归一化。这封信提出了一种结合梯度域法和改进的奇异值均衡的新方法,可以达到良好的照明归一化效果。梯度域方法可以使多个图像的对比度达到同一水平,而改进的奇异值均衡可以使它们的强度平均值彼此接近。我们还建议使用一个名为p的参数来定量评估照明一致性。实验结果表明,该方法在可视化和定量评估方面具有良好的性能。

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