In order to accurately identify and recognize text, it is common practice to employ the Laplacian operation on video images to boost contrast. While Laplacian operation does enhance contrast, it also adds an excessive amount of noise, which is a fact. To alleviate this, the existing approaches provide different filters and enhancement methods. In this paper, we propose a generalized enhancement model based on fractional calculus to increase the quality of images generated by Laplacian procedures.