摘要
遥感成像系统与目标在曝光时间内的相对运动将导致成像的运动模糊。文章结合匀速直线运动造成的图像模糊特点,讨论图像模糊的产生机理并建立相关退化模型;利用点扩散函数(PSF)在频率域和空间域上分别对匀速直线运动产生的模糊图像进行恢复;验证各算法对高斯噪声的抗干扰性;提出使用HVS对比度的方法作为客观评价标准验证恢复算法的可行性,并与传统的灰度平均梯度(GMG)相对比表明该评价标准的合理性。
Remote sensing image motion blur was produced during taking photos, because of opposite motion between camera and object. According to the features of blurred images made by uniform linear motion, it was used to establish our degradation model of remote sensing image. Taking advantage of motion blurring point spread function in spatial domain and frequency domain to restore the motion blurred image, and then verifying the anti - interference of the algorithm to Gaussian noise, the paper proposed a new image objective quality evaluation method which used HVS contrast to verify the feasibility of the restoring algorithm in remote sensing, and then proved the superiority of this method by comparing with traditional gray mean gradient（GMG）.
出处
《航天返回与遥感》
2009年第2期18-25,共8页
Spacecraft Recovery & Remote Sensing
基金
总装备部预研项目与国家自然基金项目(60776793)
关键词
遥感图像恢复
运动模糊
退化模型
点扩散函数
客观评价标准
Remote sensing image restoration Motion blur Degradation model Point spread function Objective quality evaluation
