A method and system for randomly centered image mesh adjustment

Abstract

The invention discloses a random central aggregation image halftone method and system, and belongs to the field of image hard copy reproduction. The random central aggregation image halftone method comprises the steps of firstly performing halftone processing on a grayscale color block with a certain grayscale value by adopting a blue-noise halftone algorithm to obtain uniformly and randomly distributed seed points; then dividing the seed point area with the help of a Delaunay triangular mesh, and determining a belonging triangle of each pixel by using a vector method; then obtaining positionparameters of each pixel inside the corresponding triangle according to an area method, and calculating thresholds; in order to reduce the repeatability of the thresholds in a threshold matrix, adjusting the thresholds in the original threshold matrix by using a Bell Table; and finally, arranging the threshold matrix according to a sequence from left to right and from top to bottom, and comparingthe threshold matrix and a threshold at the corresponding position where an image is inputted to obtain a halftone image. According to the method, regular textures in the halftone image can be reduced, and the visual effect of the halftone image is improved.

Description

technical field [0001] The invention belongs to the field of image hard copy reproduction, and relates to a halftone processing method, in particular to a halftone method and system of a random centrally gathered image. Background technique [0002] Digital halftone technology is the key technology connecting image input and output links. It uses mathematics, computers and other tools to process continuous tone images into binary images, that is, halftone images, on the basis of sacrificing a certain resolution. The quality of the halftone image has a great influence on the output effect of the image. According to the distribution of dots, the halftone algorithm can be divided into three categories: amplitude modulation, frequency modulation, and hybrid. [0003] The amplitude modulation halftone algorithm reproduces the tone level of the image by adjusting the dot size. Due to the periodic distribution of the dots, there will be regular textures in the image output. The fr...

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Problems solved by technology

In the current existing algorithms, the blue noise halftone algorithm or the error diffusion method is usually used to obtain randomly distributed dots, but the random uniformity of the dot distribution obtained by the blue noise halftone algorithm is still not ideal, so there are obvious problems when outputting images. In addition, the existing algorithm obtains a large number of repeated thresholds in the threshold matrix, which is not conducive to the tone reproduction of the halftone image, and the above problems ultimately affect the visual effect of the image

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