Method for optimizing image lattice quality and device thereof

Abstract

The invention discloses a method for optimizing image lattice quality and a device thereof. The method comprises the steps as follows: a halftone amplitude modulation screening threshold value matrix T is obtained, and node quantity CT in the halftone amplitude modulation screening threshold value matrix T is confirmed; CT / 2 data items are taken out from T sequentially; after CT / 2 data items are taken out each time, the following steps are implemented: T / 2 data items are put into a corresponding position for inputting a threshold value matrix H according to a position coordinates in T of T / 2 data items; maximum MH in H is counted; a value at the corresponding position of a zero matrix which has same size as T is set as 1 to obtain a human visual filter matrix G; filtering operation is carried out on the G to obtain a temporary matrix G'; the threshold value matrix H and element value at the corresponding position in the human visual filter matrix G are updated and output according the position coordinates of a minimum value of all elements at the position corresponding to T / 2 data items in G'; and the value of MH is updated, until T / 2 data items in the threshold value matrix H are processed and output. The invention carries out human eye filter treatment on the image lattice and obtains good image output effect.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a halftone image dot matrix quality optimization method and device for image hard copy reproduction. Background technique [0002] The hard copy reproduction of images mainly involves the hanging net plate-making technology of printers and high-end printing plate-making equipment. The hanging net technology used for hard copy reproduction of images is also called digital image halftone technology. Digital image halftone technology can be divided into two categories, namely amplitude modulation hanging net and frequency modulation hanging net. Among them, the amplitude modulation hanging network is also called the gathering point orderly dithering technology, which is characterized in that the dyeing points of the generated halftone image are aggregated in pairs adjacent to each other in geometric positions, thus forming clusters of clusters. Dyeing areas, these dyeing areas are ...

AI Technical Summary

Problems solved by technology

[0005] At present, the halftone amplitude modulation dots output by the one-dimensional imaging depth equipment are very prone to many problems in the level and halftone image quality caused by the lack of hanging network algorithm, especially in the halftone dot matrix generation process After the jitter optimization is carried out to improve the level of hanging nets, due to the super-cell mechanism, the slight difference in pixel arrangement in each single-cell network will lead to obvious texture phenomena in individual levels, and in severe cases, a collision will be formed; at the same time, due to the amplitude modulation characteristics of the network dots The intensification of the image sharpening effect brought by the dot size leads to a strong graininess and texture effect in the image output on the one-dimensional imaging depth device, resulting in insufficient smoothness of the overall imaging of the image, and the visual effect cannot meet the requirements. Affect image output quality

This situation is especially reflected in the case of a certain or lower resolution of the equipment, when the mesh number of the halftone hanging net that is required to be output is relatively high, because the size of each single-cell dot is small, it is more difficult to control the shape of the dot, resulting in the The probability of difference in the shape of cell dots is significantly increased, which is more prone to problems such as texture and mesh collision

[0006] In view of the existence of the above-mentioned problems, it is difficult to solve them on the basis of the existing relatively mature supercell AM hanging net technology, and there is no effective technical control method so far, which needs to be further improved and perfected.

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