A Halftone Image Edge Enhancement Algorithm Based on Blue Noise

Aiming at solving the problems, which are darkening of halftone image gradation and blurring of edges, caused by blue noise mask halftone algorithm, an algorithm with enhanced detail information is proposed. Firstly, the algorithm utilizes Laplacian operator to extract edge information, weighting the contour information detected and fusing with the original image. Then, screening parameters are determined through integrating the image grayscale information with edge information. Finally, multiple experiments show that the algorithm effectively solves the problems and the proposed algorithm is feasible. The work optimizes the classical blue noise mask halftone algorithm to improve the output quality of halftone images, which can better reproduce the background and contour information of halftone images