Abstract. Laser active imaging is widely used in many fields. The intensity image quality of laser active imaging is affected by various degradations, such as speckle effect and noise. Most existing objective image quality assessment (IQA) methods that consider only a single distorted image are not suitable for an intensity image. A multiscale full-reference intensity IQA method is presented. The proposed method is based on an improved gradient magnitude similarity deviation (GMSD) in the nonsubsampled contourlet transform (NSCT) domain. The reference and distorted images are decomposed by NSCT to emulate the multichannel structure of the human visual system. Then, the GMSD of each sub-band is computed to capture the intensity image quality. At last, the contrast sensitivity function implementation is employed in the sub-bands of the NSCT domain. All sub-bands’ GMSD is evaluated and pooled together to yield the objective quality index of a distorted intensity image. Experimental results show that the proposed method can effectively and accurately evaluate the quality of intensity images, and it is highly consistent with subjective perception.

中文翻译：

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基于多尺度梯度幅度相似度偏差的强度图像质量评估

摘要。激光主动成像广泛应用于许多领域。激光主动成像的强度图像质量受到各种退化的影响，例如散斑效应和噪声。大多数现有的仅考虑单个失真图像的客观图像质量评估 (IQA) 方法不适用于强度图像。提出了一种多尺度全参考强度 IQA 方法。所提出的方法基于非下采样轮廓波变换 (NSCT) 域中改进的梯度幅度相似度偏差 (GMSD)。参考和失真图像由 NSCT 分解以模拟人类视觉系统的多通道结构。然后，计算每个子带的 GMSD 以捕获强度图像质量。最后，在NSCT域的子带中采用对比敏感度函数实现。所有子带的 GMSD 被评估并汇集在一起​​，以产生失真强度图像的客观质量指数。实验结果表明，该方法能够有效准确地评价强度图像的质量，与主观感知高度一致。