Service Oriented Architecture<sup>1</sup> (SOA) is widely used in building flexible and scalable web sites and services. In most of the web or mobile photo book and gifting business space, the products ordered are highly variable without a standard template that one can substitute texts or images from similar to that of commercial variable data printing. In this paper, the author describes a SOA workflow in a multi-sites, multi-product lines fulfillment system where three major challenges are addressed: utilization of hardware and equipment, highly automation with fault recovery, and highly scalable and flexible with order volume fluctuation.
With the recent introduction of mobile devices and development in client side application technologies, there is an explosion of the parameter matrix for color management: hardware platform (computer vs. mobile), operating system (Windows, Mac OS, Android, iOS), client application (Flesh, IE, Firefox, Safari, Chrome), and file format (JPEG, TIFF, PDF of various versions). In a modern digital print shop, multiple print solutions are used: digital presses, wide format inkjet, dye sublimation inkjet are used to produce a wide variety of customizable products from photo book, personalized greeting card, canvas, mobile phone case and more. In this paper, we outline a strategy spans from client side application, print file construction, to color setup on printer to manage consistency and also achieve what-you-see-is-what-you-get for customers who are using a wide variety of technologies in viewing and ordering product.
For many color printing systems, printer calibration is often utilized to return the printer to a known state
to ensure consistent color output. In particular, the key visual response of color balance often depends the
calibration state return. Input color signal noise, generated from the printing system natural variation when
printing the calibration target, affects the accuracy and robustness of the calibration outcome. Noise management
techniques for managing input color signal noise prior to system calibration are often absent or rely on ad hoc
analysis and are usually not based on the return of a well developed printer response that has been extracted from
measured signal using advanced noise management methods. This paper describes Part II of an overall method
for developing a robust noise management system for printer calibration. In Part I, an 8-bit full resolution
calibration target is described and an iterative filtering noise management metric and method are defined and
developed. In this Part II, the specific development of a low resolution calibration target and corresponding noise
free representation of the printer system state, as defined by quantitative metrics relative to the printer response
derived from high resolution signal in Part I is defined and developed. This subsampled calibration target using
the proposed noise management method can increase the productivity and reduce operator error in print shop
workflow with minimal loss of accuracy.
In this paper we propose an analytical model of the skew effect in digital press characterization. Digital press characterization gives critical information based on which one can predict how a certain layout, images, and text will be rendered by the press on a particular substrate. Modulation Transfer Function (MTF) analysis
characterizes the digital press of interest using MTF test patches designed with different spatial frequencies, tone levels, angles, and colors. These patches are printed and then scanned. However, at high spatial frequencies, a small mis-registration in the scanned image can produce large distortion. Skew is a common image misregistration introduced in image analysis processes due to the imperfect alignment between the scan target media and the scanning device. The conventional method of de-skewing by rotating the scanned image is not desirable because of the large amount of data in high resolution scans. We present a strategy for rejecting skewed images based on the skew angle and the error tolerance so that they can be rescanned and also a simple procedure to correct the skew effect based on our analytical model. With our scheme, special marks are designed and printed along with the MTF test target page to aid the calculation of the skew angle. A threshold for the acceptable maximum skew angle is calculated using the properties of the MTF test target page pattern and the error tolerance. An image with skew angle larger than the threshold will be rejected. A look-up table can be generated to compensate for the skew effect on the MTF measurement.
Conference Committee Involvement (1)
Imaging and Multimedia Analytics in a Web and Mobile World 2015
11 February 2015 | San Francisco, California, United States