摘要
在获取图像的过程中,传感器和场景的相对运动所造成的图像模糊是一类常见的图像退化模式。为对模糊图像进行恢复,首先要给出精确的点扩展函数估计。针对匀速运动降晰的情况,提出了一种新的误差-参数曲线法,并依据这种曲线提出了一种点扩展函数的自动估计算法。通过引入奇异因子、光滑因子以及平坦因子来实现点扩展函数的估计。实验结果表明,该方法可以取得较为精确的估计效果。
During image capturing, the image blurting is one of the most common degradation caused by the relative motion between the sensor and the scene. In order to restore the degraded image, the first and a key step is to estimate the point spread function. A new error-parameter curve for motion blurting is presented , and an automatic method for estimating the degraded parameter is addressed. This approach is implemented by integrating the singular, smooth and flat factors of the error-parameter. The experimental results demonstrate that this method is effective and promising.
出处
《红外与激光工程》
EI
CSCD
北大核心
2007年第2期248-251,共4页
Infrared and Laser Engineering
基金
国家自然科学基金资助项目(60572048)
地理空间信息工程国家测绘局重点实验室基金资助项目(200636)
关键词
图像复原
点扩展函数
误差-参数曲线
移动降晰
Image restoration
Point spread function
Error-parameter curve
Motion blurring
