Simulation of Color Correction Model Based on SSA-CatBoost
In order to solve the problem of color distortion in the process of image acquisition equipment and the traditional method has poor correction effect,a CatBoost color correction model combined with SSA algorithm is pro-posed.Firstly,three CatBoost models were established,and the SSA algorithm was used to search the best parameters of the three models.Then the obtained optimal parameters were assigned to three CatBoost models,and the measured values of the three channels were fitted with the real values respectively.Finally,compared with the traditional polyno-mial regression method,the correction effect of this model was verified.The model simulation results show that shows that the model makes the color difference value(Δ E)is controlled within 3,which proves that the SSA-CatBoost model has better color correction.
Color distortionSparrow search algorithmOblivious treesColor correction
NETL
NSTL
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