Key result
Edge distortion correction improves experimental scattergram astringency and meets human subjective vision consistency.
Why the study?
Existing edge distortion correction methods for moving images ignore the consistency of human subjective vision during restoration.
The proposed discrete mathematical model improves edge distortion correction in moving images, meeting human subjective vision requirements.
Hypothesis-generating for discrete models in image correction; leaves open clinical validation before adoption.
The existing edge distortion correction methods of moving images ignore the consistency of human subjective vision in the restoration process. Therefore, this study proposes an edge distortion correction method of moving images using a discrete mathematical model. According to the image binarization, the moving target region is segmented, the motion fuzzy degradation model is constructed by using the discrete mathematical model, the global structure information of the image is considered by the structure similarity, the image gradient is transformed from the rectangular coordinate system to the polar coordinate system, the image deconvolution algorithm of the edge distribution of the natural image is used to enhance the image edge features, and the edge distortion correction of the moving image is realized. The experimental results show that the astringency of the experimental scattergram is obviously improved, the fitting line is almost a straight line, and it has good recognition of the jump of the gray level of noise points, which can meet the requirements of the consistency of the subjective vision of human eyes.
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Xu et al. (2022) studied Edge distortion of moving images. Edge distortion correction method using a discrete mathematical model vs. Existing edge distortion correction methods was evaluated on Astringency of the experimental scattergram and recognition of gray level jump of noise points. An edge distortion correction method using a discrete mathematical model improved the astringency of the experimental scattergram and met the requirements of human subjective vision consistency.
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