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Image-tone-based adaptive green-noise screening method

An adaptive, green noise technology, applied in image communication, electrical components, etc., can solve the problems of uneven vision, roughness, and loss of image details in the green noise screening algorithm, and achieve the effect of solving uneven vision.

Inactive Publication Date: 2012-10-10
WUHAN UNIV
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Problems solved by technology

At the same time, the cluster points composed of several dots are also rough in the performance of high-frequency details, and some technical problems such as image details will be lost; it provides a method that can effectively solve the problem of the common green noise screening algorithm. The dots of the tone image are uniformly dispersed, and can express the image details delicately, so that the image output by the equipment can greatly meet the requirements of actual printing digital proofing in terms of visual effect and detail level

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Embodiment

[0050] A kind of adaptive green noise screening method based on image tone, comprises the following steps:

[0051] Step 1. Compare the pixel g(m,n) of the original image with the threshold T. The threshold T is initially defined as 0.5, and the post-threshold T=T+d; the processed result is converted into the pixel value b( m,n); The scanning direction when reading the pixel g(m,n) to be processed is selected according to the parity of m: when m is an odd number, the scanning direction is from right to left; when m is an even number, the scanning direction from left to right;

[0052] Step 2, compare b(m,n) with g(m,n) to obtain the error value e(m,n); error value e(m,n)=g(m,n)-b(m ,n);

[0053] Step 3, diffuse e(m,n) to the unprocessed pixels around the current processed pixel through the error diffusion filter, that is, the diffused pixel value is equal to the sum of the original image pixel value and the diffused error; green noise screening algorithm Due to the generati...

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Abstract

The invention relates to an adaptive green-noise screening method, in particular to an image-tone-based adaptive green-noise screening method. In the method, a scanning direction of a scanned line is changed according to the parity of the scanned line, and two error diffusion filters consistent with human visual laws are designed. One of 0 and 1 is randomly generated by a computer to select a corresponding error diffusion filter. Finally, the calculation of optimal hysteresis coefficients on each grayscale tone is highlighted, and a corresponding optimal hysteresis coefficient is selected according to an image tone. Therefore, the method has the advantages of effectively solving the problem of visual nonuniformity of an ordinary green-noise screening algorithm to make halftone image dots uniformly scattered, and discreetly presenting image details to make an image output by equipment can greatly meet the requirements of actual printing digital proof in the level of visual effects and details.

Description

technical field [0001] The invention relates to an adaptive green noise screening method, in particular to an image tone-based adaptive green noise screening method. Background technique [0002] The hard copy reproduction of images mainly involves the screening and plate-making technology of printers and high-end printing plate-making equipment. The screening technique used for hard copy reproduction of images is also known as digital image halftoning. Digital halftone techniques can generally be divided into two categories: AM screening and FM screening. [0003] AM screening is to arrange the dots in an orderly and uniform manner, and to reflect the depth of the tone by changing the size of the dots. It is a dot-gathering screening method. However, due to the overlapping of AM screens with different screen angles, it is easy to produce optical interference, that is, the so-called "moiré" in the field of printing and printing, and AM screens are easy to produce continuou...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N1/409H04N1/405
Inventor 易尧华
Owner WUHAN UNIV
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