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Error feedback halftone algorithm based on a human eye vision model

A technology of human vision and error feedback, applied in computing, image analysis, image enhancement and other directions, can solve the problems of blurred edges, artificial traces, discontinuous edge transitions, etc.

Inactive Publication Date: 2019-03-19
TIANJIN NAVIGATION INSTR RES INST
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Problems solved by technology

[0005] The purpose of the present invention is to make up for the deficiencies of the prior art, and to provide an error feedback halftone algorithm based on the human visual model for problems such as artificial traces, blurred edges, and discontinuous edge transitions that occur in the classic error diffusion algorithm. It is intended to improve the deficiencies of classic halftone and improve the processing effect of the algorithm on continuous tone images, so as to achieve better visual effects

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  • Error feedback halftone algorithm based on a human eye vision model
  • Error feedback halftone algorithm based on a human eye vision model
  • Error feedback halftone algorithm based on a human eye vision model

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[0090] The embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the embodiments are illustrative, not restrictive, and cannot limit the protection scope of the present invention.

[0091] An error feedback halftone algorithm based on the human visual model, its principle block diagram is as follows figure 2 shown, including the following steps:

[0092] (1) Step 1: Obtain the grayscale data of the digital image, and normalize the pixel values ​​of the continuous tone image.

[0093] (2) In step 2, the printer model is introduced into the traditional error diffusion method, and the difference between the output value after the printer model and the quantized input value is used as the quantization error fed back in the error diffusion method to achieve the effect of reducing the dot gain phenomenon; step 2 The specific sub-steps are as follows:

[0094] Step 2-1, obtain the difference be...

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Abstract

The invention relates to an error feedback halftone algorithm based on a human eye vision model. The method is an improvement of an existing classic digital halftone algorithm. According to the method, a human eye vision model and a printer model are combined to improve the classical digital halftone algorithm, and the problems of artificial traces, blurred edges, discontinuous edge transition andthe like of the traditional classical error diffusion algorithm are solved, so that a better image reproduction effect is achieved, and the method has a certain application value in the field of image hard copy.

Description

technical field [0001] The invention relates to the technical field of image hard copy reproduction, in particular to an error feedback halftone algorithm based on a human visual model. Background technique [0002] Digital halftone technology, also known as digital screening, is a technology for realizing continuous tone image reproduction on binary output devices. Most printing devices can only output binary information or a limited number of tones, so halftone technology is needed to simulate continuous tone images. Halftone technology experienced the analog halftone stage in the early stage, and became the leading technology in the printing industry from the middle of the nineteenth century to the beginning of the twentieth century. With the emergence of digital equipment, digital halftone technology came into being. In the past few decades, digital halftone technology has formed a relatively complete theoretical system and a series of methods, mainly including ditherin...

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Application Information

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IPC IPC(8): G06T7/13G06T7/40G06T7/90G06T5/00
CPCG06T7/13G06T7/40G06T7/90G06T5/70
Inventor 李凤婷张瑞波魏江峰李彬陈涛刁彦飞
Owner TIANJIN NAVIGATION INSTR RES INST