Approach for color management in printing process in open manufacturing systems

Olejnik-Krugły, Agnieszka; Różewski, Przemysław; Zaikin, Oleg; Sienkiewicz, Piotr

doi:10.3182/20130619-3-ru-3018.00396

Cited by 2 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, concerning the scale and high speed of industrial offset color printing, color assessment and control require expert systems and more efficient instruments than a simple handheld spectrophotometer measuring one small area of interest at a time. [4][5][6] In this context, hyperspectral cameras open new perspectives for the printing industry and provide a valuable framework for quality control that can be carried out locally and globally. They can describe each image pixel with a spectrum registered in a selected spectral range.…”

Section: Introductionmentioning

confidence: 99%

“…An optical sensor (densitometer or spectrophotometer) is positioned very close to the surface of the moving web of printed paper and measurements of printed color strip across the entire web width. However, concerning the scale and high speed of industrial offset color printing, color assessment and control require expert systems and more efficient instruments than a simple handheld spectrophotometer measuring one small area of interest at a time 4–6 …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Toward more efficient and effective color quality control for the large‐scale offset printing process

Dziki,

Pieszczek,

Daszykowski

2024

Journal of Chemometrics

View full text Add to dashboard Cite

This study illustrates at‐line application of hyperspectral imaging in the visible range for quality control of large‐scale offset printing. In particular, the measurement stability of a competitive device is assessed and compared to traditional handheld and desktop spectrophotometers. The performance of the commercially available instruments was assessed based on collected spectra and their corresponding L*, a*, and b* values. The printing process was described by hyperspectral images (in visible range) of selected regions from template color fields acquired at 17 sampling occasions. Spectra constituting hyperspectral images were visualized and evaluated in the space of significant principal components obtained from the principal component analysis. Furthermore, confidence ellipses were constructed for each set of spectra characterizing a specific moment of the printing process. Comparing their mutual locations, shapes, orientations, and sizes enabled effective visualization of process variability and was more comprehensive regarding the classic approach based on information provided by desktop and handheld spectrometers.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%