Clarity Processing Algorithm of Inscription Calligraphy Image Based on Improved Particle Filtering

A novel image clarity processing algorithm based on improved particle filter is proposed to address the issues of blurring and fogging in inscriptions and calligraphy images. This algorithm introduces feature parameters such as peak signal-to-noise ratio and ambiguity, and uses an improved particle filter method to process and restore the clarity of inscription calligraphy images. The specific implementation process is as follows: Firstly, the inscription calligraphy image is divided into a series of small blocks, and the peak signal-to-noise ratio and ambiguity feature parameters of each block are calculated. Then, an improved particle filter algorithm is used to process and restore the small blocks with the best peak signal-to-noise ratio and ambiguity. Finally, concatenate all the processed small pieces into a complete inscription calligraphy image. The improved particle filter algorithm adopts adaptive observation noise covariance matrix and resampling strategy, which improves the accuracy and robustness of image processing. In the experiment, we used multiple actual inscriptions and calligraphy images for testing and comparison, and the results showed that this algorithm not only effectively improves the clarity and restoration effect of inscriptions and calligraphy images, but also has good stability and practicality.