Image Processing System for Printer-Specific Quality Compensation
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Solution Overview
Problem
Digital printing technologies face challenges in maintaining high-quality printing, especially in home and office settings, due to inadequate firmware adaptations and calibrations, leading to fluctuations in printing quality and increased costs associated with specialized software and staff, as well as risks from firmware updates.
Innovation Solution
A method and system that generate a modified electronic image file based on original files and printer data, incorporating compensations for printing device behavior, allowing for improved image quality without the need for firmware updates or calibrations, and can be offered as a service to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If firmware updates are provided to correct printing errors, then printing quality is improved, but printing device reliability deteriorates due to update failures and increased operational complexity
Solution Approach 1:
The system performs preliminary analysis of the original image file to predict printing errors before actual printing occurs. By pre-identifying potential issues such as color accuracy problems or resolution deficiencies, the system can proactively generate modified image files that compensate for these errors, thereby improving printing quality without requiring firmware updates that might fail or cause reliability issues.
Solution Approach 2:
The invention introduces an intermediary image processing system that acts as a mediator between the user's original image file and the printing device. This intermediary system analyzes the original file, predicts printing errors based on the specific printing device characteristics, and generates a modified image file that compensates for anticipated errors. This approach avoids direct modification of the printing device firmware, thereby maintaining reliability while still improving printing quality.
2Manufacturing precision
If specialized pre-press software and experienced staff are used to ensure high printing quality, then manufacturing precision is improved, but device complexity and operational costs increase
Solution Approach 1:
The system enables self-service by automatically analyzing the original image file and predicting printing errors without requiring intervention from experienced pre-press professionals. The automated error prediction algorithm assesses the image file's characteristics and identifies potential printing issues, then generates an appropriate modified image file. This self-service capability maintains high printing quality while eliminating the need for complex specialized software and expert staff involvement.
Solution Approach 2:
The invention changes the approach from using complex pre-press parameters and professional judgment to using automated image file analysis parameters. The system evaluates specific parameters of the original image file (such as resolution, color space, and file format) and uses these parameters to predict printing errors. This parameter-based automated approach simplifies the system while maintaining or improving printing quality compared to traditional pre-press methods.
3Ease of manufacture
If generic firmware is used in digital printers, then ease of manufacture is improved, but printing quality deteriorates due to insufficient adaptation to individual printer differences and wear
Solution Approach 1:
The system performs preliminary analysis of the original image file to predict printing errors specific to the user's printing device before printing occurs. By pre-identifying errors that arise from individual printer characteristics and wear, the system can generate a modified image file tailored to compensate for these device-specific issues. This approach maintains the simplicity of generic firmware while achieving customized printing quality adaptation.
4Manufacturing precision
If digital pre-press processes are performed by experienced professionals using expensive software, then manufacturing precision is improved, but loss of time and operational costs increase
Solution Approach 1:
The system performs automated error prediction and image file modification without requiring the time-consuming involvement of experienced pre-press professionals. The automated algorithm quickly analyzes the original image file, predicts printing errors, and generates a modified image file in minutes rather than hours or days. This self-service capability dramatically reduces pre-press preparation time while maintaining or improving printing quality.
Solution Approach 2:
The invention replaces the mechanical system of manual pre-press preparation by experienced professionals with an automated computational system. Instead of relying on human expertise and manual software operations, the system uses automated image file analysis algorithms to predict printing errors and generate modified files. This substitution eliminates the time loss associated with professional pre-press workflows while achieving comparable or superior results.
Data Source
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AI summary
In a first aspect, the invention relates to a method for improving an image quality when printing an electronic image file by a user, the method comprising (a) receiving an original electronic image file from a user, (b) generating a modified electronic image file, and (c) providing the modified image file to the user. In particular, other printing data are also received from the user, which printing data comprise at least a printer model and optionally a firmware version according to a non-limiting embodiment, in which the modified image file is generated taking into account said printer data. In a further aspect, the invention relates to a computer-implemented system.