A texture information fusion multi-scale structured forest digital image halftone method

Abstract

The invention discloses a texture information fusion multi-scale structured forest digital image halftone method, which includes converting a continuous tone image into a multi-grayscale image; Multi-scale edge detection is performed on the multi-gray-scale image after adding channels; combined with the different sensitivity of human visual characteristics to the local texture information of the original image, the texture partition model of the multi-gray image is established; the multi-gray image is extracted by adaptive threshold The scale edge detects the edge information of the image; through the texture partition model, combined with the image edge features, a threshold model combining texture structure and noise modulation is established; the multi-gray image is digitally halftoned by using the threshold model. The halftone image obtained by the invention has less visual distortion, high definition and contrast, clear and complete edges and details of the image, good overall visual effect, good blue noise characteristics and good versatility.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a halftone image with reduced visual deformation, high definition and contrast, clear and complete edges and details of the image, good overall visual effect, good blue noise characteristics and good universality. Multiscale structured forest digital image halftone method for fusion of texture information. Background technique [0002] Digital halftone technology is to imitate the tone changes of the original multi-grayscale image by simulating the visual low-pass characteristics of the human eye on binary or multi-color binary devices such as laser printers and laser platemakers seen in daily life. A technique for converting an original continuous tone image into a binary halftone image suitable for human observation. Digital halftone technology not only affects the output quality of laser engraving and laser printing images, but also is closely related to ...

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Problems solved by technology

However, the S-F error diffusion method does not take into account the edge detail characteristics of the image well, so that the generated halftone image is not clear enough in the edge and detail parts.

In addition, also proposed in the prior art such as " noise modulation error diffusion method ", " B.W.Hwang edge enhanced error diffusion method " (Hwang B W, Kang T H, Lee T S. Distortion-Free of General Information with Edge Enhanced Error Diffusion Halftoning. Computational Science and ITSApplications, International Conference (DBLP2004). Italy, 2004) and other methods, although to a certain extent, solve the problems of "unclear edges" and "undesired textures are too obvious" in halftone images, but for For images with complex edge and texture structures, there will still be some small edges and some important details that will disappear during the halftoning process, and these two methods do not fully consider the impact of human visual characteristics on the texture in the image. Sensitivity of the area

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