Texture information and multiscale structured forest fused digital image halftoning method

Abstract

The invention discloses a texture information and multiscale structured forest fused digital image halftoning method. The method comprises the following steps of: converting a continuous tone image into a multi-grayscale image; carrying out channel addition on the multi-grayscale image to ensure that the multi-grayscale image has three channels, and carrying out multiscale edge detection on the channel added multi-grayscale image by utilizing an edge detection method of a structured forest; establishing a texture partition model of the multi-grayscale image through combining different sensitivity degrees, for local texture information of original images, of human visual characteristics; extracting edge information of a multiscale edge detection image through a self-adaptive threshold value; establishing a texture structure and noise modulation combined threshold value model through the texture partition model and image edge features; and carrying out digital halftoning on the multi-grayscale image by utilizing the threshold value model. The obtained halftone image is less in visual deformation, high in definition and contrast, clear and complete in edge and detail parts and favorable in overall visual effect, and has a favorable blue noise characteristic and favorable universality.

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 ...

AI Technical Summary

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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