Motion Image Blur and Duplicate Data Removal Algorithms in Computer Vision Technology.

With the development of image processing technology, computer vision technology has been widely applied in the field of motion training. How to effectively restore blurred images during motion training and achieve deduplication of motion training images has become a current research hotspot. However, traditional algorithms cannot effectively extract the blurred information in the overlapping areas. The article studied a motion training image blur deduplication algorithm based on visual sensing was studied. The algorithm first performed blur restoration on the input motion training image, and then used the KL (Kullback Leibler) transform to deduplicate the restored image. The results showed that the image blur deduplication method based on visual sensing had a maximum deduplication rate of 88.6%. The visual perception technology proposed in this paper has better results in motion training image processing, which can improve the clarity and visual quality of the image. [ABSTRACT FROM AUTHOR]