关键词: 噪声, 运动模糊参数, 区域生长算法, 白色长条区域, 最小外接矩形, 同步估计

Abstract: Under noise conditions, the black stripes of the spectrum for the uniform linear motion blurred image become obscure or even disappear. It is difficult to estimate the motion blur parameters by means of the characteristics of the black stripes. Thus, a new algorithm was proposed for motion blur parameters synchronous identification under noise conditions, which was based on the spectrum of the motion blurred image. Firstly, the contour of the white bound area was extracted using region growing algorithm, and then the minimum bounding rectangle of the contour was calculated, the motion direction and the motion length were identified simultaneously by the length, width and tilt of the minimum bounding rectangle. The experimental results indicate that, for different signal-to-noise ratios, different motion directions and motion lengths, the algorithm can be more accurate to estimate the motion blur parameters, and has good robustness. parameters, and has good robustness.

Key words: noise, motion blur parameters, region growing algorithm, white bound area, Minimum Enclosing Rectangle, synchronous identification