Motion Blur Direction Determination Method Using Directional Differentiation

In this method, reference can be made to Zhang Chaoyang's research paper "Study on Point Spread Function of Linear Motion Blur Images," which provides detailed explanation of motion blur direction determination using directional differentiation. This approach determines motion blur direction by performing directional differentiation on images. Directional differentiation is a technique used to detect edge and texture orientations in images. By applying directional derivatives to an image, we obtain directional information for each pixel point, thereby determining the motion blur direction. In implementation, this typically involves calculating gradient magnitudes and orientations using operators like Sobel or Prewitt filters, followed by analyzing the dominant orientation through methods such as Hough transform or orientation histogram analysis. The method can be effectively applied for processing and analyzing motion-blurred images in applications like image restoration and camera motion estimation.