Plate Correction Method Based on Prepress Dot Compensation

GAO Jing

Packaging Engineering ›› 2018 ›› Issue (23) : 231-236.

PDF(6039 KB)
PDF(6039 KB)
Packaging Engineering ›› 2018 ›› Issue (23) : 231-236. DOI: 10.19554/j.cnki.1001-3563.2018.23.037

Plate Correction Method Based on Prepress Dot Compensation

  • GAO Jing
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Abstract

The work aims to propose a plate correction method based on the prepress dot compensation with respect to the inconsistency of previous and subsequent ink color shade of the printed matter from the bite to the tip. Firstly, the test sample of the ink color uniformity detection of the printed matter was designed, and the corresponding relationship between the ink color depth and the percentage of the dot was established. On this basis, a dot reproduction uniformity correction model from the bite to the tip was established. Then, the optimal value of the adaptive parameters of the correction model was solved by the dichotomy method, and the uniformity of the printing plate dot was compensated for the tone at different positions in the pre-press offset printing process. Finally, it was printed on the machine and the density value before and after the correction was measured. The solution to the problem of the inconsistency of the previous and subsequent ink color depth was analyzed. Firstly, the optimal correction parameters were obtained. After the printing plate dot compensation was applied to the problematic test plate, the average measurement difference of the test plate from the bite to the tip was reduced from 14% to 2%, and the average dot density difference was reduced from 0.18 to 0.06. In such case, the problem of inconsistency of previous and subsequent ink color depth was effectively controlled. The proposed method realizes the basic consistency of the percentage from the bite to the tip dots, so that the phenomenon of inconsistent previous and subsequent ink color depth is effectively controlled.

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GAO Jing. Plate Correction Method Based on Prepress Dot Compensation[J]. Packaging Engineering. 2018(23): 231-236 https://doi.org/10.19554/j.cnki.1001-3563.2018.23.037
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