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Edge information considering half-toning method and system of multi-level error diffusion image

A technology of edge information and error diffusion, applied in the field of multi-level error diffusion image mesh, can solve problems such as edge blur

Inactive Publication Date: 2018-07-24
WUHAN UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] In summary, the existing halftone adjustment algorithms basically have problems such as directional texture and edge blur; in addition, with the rapid development of printer technology, multi-level printing has become a trend, and the current mainstream halftone adjustment technology The output is a binary image, which cannot be directly applied to a multi-level printer for printing output, so a multi-level halftone technology is urgently needed to convert the input image into a multi-level halftone image

Method used

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  • Edge information considering half-toning method and system of multi-level error diffusion image
  • Edge information considering half-toning method and system of multi-level error diffusion image
  • Edge information considering half-toning method and system of multi-level error diffusion image

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Embodiment Construction

[0090] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0091] Such as figure 1 , the technical solution adopted in the present invention is a multi-level error diffusion image mesh adjustment method taking into account edge information, comprising the following steps:

[0092] (1) Normalize the input image according to formula (1), and then perform nonlinear decomposition to obtain n decomposed images with the same size as the input image. The decomposition method is formula (2):

[0093]

[0094]

[0095] In the formula, X input (i, j) is the gray value of the pixel whose coordinates are (i, j) in the in...

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Abstract

The invention discloses an edge information considering half-toning method and system of a multi-level error diffusion image, and belongs to the technical field of hard copying and output of digital images. The method comprises that an input image is decomposed nonlinearly, half-toning is carried out on each decomposition image in an edge information considering multi-dimensional error diffusion half-toning method, multiple binary half-toning images are obtained, and a multi-level half-toning image is obtained by merging the binary half-toning images. Via the method, the problem that an errordiffusion half-toning method tends to cause regular texture can be solved effectively, the hierarchy of the half-toning image is kept consistent with that of the input image, edge structure information of the input image can be maintained, and the multi-level half-toning image obtained by the method can be directly applied to a multi-bit printer for printing and outputting.

Description

technical field [0001] The invention belongs to the technical field of image hard copy output, and in particular relates to a multi-level error diffusion image halftone adjustment method and system in consideration of edge information. Background technique [0002] The dissemination of image and text information needs to go through three major processes of collection, processing and output, among which image output is an important way of information reproduction. Image output technology can be divided into hard copy output and soft copy output according to the output method, and the main form of hard copy output is print output. Since the image acquired by the image acquisition device has rich color tones, and the print output device can only realize the reproduction of the input image through limited and few recording states (usually two) when printing out, so in order to accurately reproduce The gradation of the input image needs to use the image halftone method to conver...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20016G06T2207/10004G06T2207/20192G06T5/73
Inventor 易尧华刘磊梁正宇王笑何婧婧刘艳鹤
Owner WUHAN UNIV
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