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利用频谱特性鉴别运动模糊方向

梁宛玉1, 孙权森1, 夏德深1(南京理工大学计算机科学与技术学院,南京 210094)

摘 要
点扩展函数(PSF)的精确估计是运动模糊图像恢复的关键。匀速直线运动模糊的PSF参数主要由模糊角度(方向)和模糊尺度两个参数组成,然而模糊角度的估计又是重中之重。针对R Lokhande等人提出的霍夫变换的运动模糊方向估计法进行改进,通过增加边缘检测等预处理步骤,利用霍夫变换检测直线,并利用改进的霍夫变换峰值提取方法来估计角度值。实验表明,该方法能够得到比原方法更精确的角度值,并且具有抗噪能力强、鉴别精度高的优点。
关键词
Identification of the motion blur direction using spectral property

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Abstract
The accurate estimation of the point spread function (PSF) is very important in restoration of motion-blurred image. The uniform linear motion blur PSF is composed of two parameters, namely blur angle(direction) and blur length. However, estimation of the motion-blurred angle is the most important. The motion-blurred direction based on Hough transform, which is proposed by R. Lokhande et al, is improved. The improvement adopts more pretreatments such as edge detection, detect the straight line by Hough transform,and takes advantage of the improved Hough transform peak extraction method to estimate the value of the angle. Experiments show that the method can be more accurate than the original method of angle values, and has anti-noise ability, identification of high precision.
Keywords

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