Halftone Image Soft Proofing with Dynamic Threshold Caching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing soft proofing systems for halftone images are slow and cumbersome, requiring extensive time to display and modify halftone image data, and are limited in their ability to perform real-time halftone screening and automatic moiré detection.
Innovation Solution
The method involves calculating and storing halftone threshold values for quick retrieval and reuse, allowing for real-time display and modification of halftone image data by only recalculating values for affected areas, and using cached data to reduce processing time, while also enabling automatic detection and elimination of moiré patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional hard proofing techniques are used to adjust halftone screen parameters, then image quality can be verified, but the process is very time and material-intensive and expensive
Solution Approach 1:
The patent uses soft proofing to create a digital copy of the halftone image on a display device, eliminating the need for physical hard copies. This allows multiple proofs to be generated and compared without additional material costs or shipping time, directly resolving the time and material inefficiency of traditional hard proofing while maintaining image quality verification capability
Solution Approach 2:
The patent replaces the mechanical printing process with a digital display system. Instead of physically printing halftone images on paper for inspection, the system renders halftone images on a display device using pixel mapping and color conversion, eliminating the time required for printing, drying, and physical handling while maintaining the ability to verify image quality
2Loss of substance
If soft proofing is used to display halftone images, then material costs are reduced, but the processing speed is slow and cumbersome
Solution Approach 1:
The patent pre-calculates and stores lookup tables for color space conversions and halftone rendering parameters. When generating soft proofs, the system retrieves pre-computed values from these lookup tables rather than performing complex calculations in real-time, dramatically accelerating the proofing speed while maintaining the material efficiency of digital display
Solution Approach 2:
The patent divides the halftone image into discrete pixel regions that can be independently processed and rendered. By segmenting the image processing into manageable pixel blocks with independent color space conversions, the system can efficiently process and display halftone images without the slowness of traditional full-image processing, maintaining both speed and material efficiency
3Measurement precision
If halftone screens are rotated to eliminate moiré patterns, then image quality improves, but the process requires iterative modification and is time-consuming
Solution Approach 1:
The patent implements an automated feedback mechanism that analyzes the rendered halftone image for moiré patterns and automatically adjusts screen rotation angles and other parameters. The system displays the result and allows iterative refinement without requiring manual intervention for each adjustment, reducing the complexity of moiré elimination while maintaining image quality improvement
Solution Approach 2:
The patent enables the soft proofing system to automatically detect and correct moiré patterns through algorithmic analysis of the rendered image. The system self-adjusts halftone parameters based on detected artifacts, eliminating the need for manual trial-and-error parameter modification and reducing the operational complexity of achieving moiré-free images
Data Source
AI summary
Methods and apparatus are provided for dynamically halftoning image data, substantially in real-time. Halftone threshold values are calculated and stored in memory, and halftone output values are calculated for the portions of the image data that will be displayed on a display device. Halftone screen parameters may be modified, and new halftone screen threshold values may be calculated for any affected halftone screens. For unaffected halftone screens, the previously stored threshold values may be retrieved from memory. In addition, the portion of the image to be displayed may be modified, and the halftone output values of the new portion may be calculated and then displayed.