Edge-Aware Filters (EAF) are less frequently detected by forensic tools compared to the median filter. However, EAFs also blur the edges, if their operational parameters are not tuned properly. Objective image quality metrics which reflect the quality of the smoothed images are necessary for tuning the operational parameters. A novel formulation of a no-reference composite metric, termed as Denoising Performance Metric (DPM) is introduced in this paper. DPM exhibited a correlation of 0.98 ± 0.02 and 0.89 ± 0.09 with the Mean Opinion Score (MOS) and Peak Signal to Noise Ratio (PSNR) between the test images and the noise-free benchmark image, respectively. The correlation observed for type-2 Vector Mean Squared Error (VMSE) with MOS and PSNR are 0.97 ± 0.02 and 0.79 ± 0.25, respectively. The proposed metric is observed to be superior to type-2 Vector Mean Squared Error (VMSE) in terms of its correlation with the subjective fidelity ratings. It can be used for tuning operational parameters of EAF to enhance their ability to tackle forensic tools.

与中值过滤器相比，取证工具检测边缘检测过滤器（EAF）的频率较低。但是，如果未正确调整EAF的运行参数，它们也会使边缘模糊。反映平滑图像质量的客观图像质量度量对于调整操作参数是必需的。本文介绍了一种新型的无参考复合度量公式，称为降噪性能度量（DPM）。DPM与测试图像和无噪声基准图像之间的平均意见得分（MOS）和峰值信噪比（PSNR）分别显示0.98±0.02和0.89±0.09的相关性。对于具有MOS和PSNR的2型矢量均方误差（VMSE）观察到的相关性分别为0.97±0.02和0.79±0.25。就其与主观保真度等级的相关性而言，所建议的度量标准被认为优于2型矢量均方误差（VMSE）。它可用于调整EAF的操作参数，以增强其处理取证工具的能力。