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光电遥感相机由于受到大气湍流,成像离焦,机械振动等影响,导致获取的遥感图像呈现降质模糊状态,在对遥感图像进行复原处理之后,需要评估图像的复原质量。提出了一种清晰度评价方法,通过对图像进行骨架边缘提取,计算出骨架边缘对应的像素数目,并以此作为图像的清晰度参数,将降质图像与复原图像的清晰度参数作对比,得出复原后图像的清晰度提升率。通过对不同遥感图像的实验,验证了使用该方法进行图像清晰度评估的有效性与可靠性,同时证实了该方法具有抗噪声性能以及对弱振铃波纹的抑制效果。
Because of the influence of atmospheric turbulence, imaging defocus, mechanical vibration and so on, the remote sensing images of the optical remote sensing camera are degraded and blurred. After the remote sensing images are restored, the restoration quality of the images needs to be evaluated. A sharpness evaluation method is proposed. The number of pixels corresponding to the edge of the skeleton is calculated by extracting the edge of the skeleton of the image, and the sharpness parameter of the degraded image is compared with the sharpness parameter of the restored image, After the restoration of the image clarity improvement rate. Experiments on different remote sensing images verify the effectiveness and reliability of the method for image sharpness assessment. At the same time, the method has been proved to have anti-noise performance and weak ringing ripple suppression.