Overcoat Processing Mechanism Using Compressed Image Analysis
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Solution Overview
Problem
Current printing systems require extensive calculations to determine the amount of overcoat ink needed, which is inefficient due to the need for high-resolution bitmaps of CMYK data, leading to increased computational complexity and memory bandwidth utilization.
Innovation Solution
The method involves analyzing color planes of a compressed sheetside image to generate an overcoat plane, using meta-data structures to reduce the need for writing pixel-by-pixel information to bitmap memory, and implementing a compressed data representation to minimize memory bandwidth utilization and computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution CMYK bitmaps are used to determine overcoat ink amounts, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent divides the high-resolution CMYK bitmap into multiple lower-resolution sampling grids. Instead of processing all pixels at full resolution, the system segments the image into representative samples that capture the essential ink distribution patterns. This segmentation maintains sufficient accuracy for overcoat determination while dramatically reducing the number of calculations required.
Solution Approach 2:
The patent applies partial action by processing only a subset of pixels rather than the entire high-resolution bitmap. By selecting strategic sample points and using reduced-resolution representations, the system performs enough processing to achieve accurate overcoat ink amounts without the excessive computational burden of full-resolution analysis.
2Manufacturing precision
If high-resolution CMYK bitmaps are processed, then manufacturing precision is improved, but productivity decreases
Solution Approach 1:
The patent segments the processing task into multiple stages: creating reduced-resolution representations from high-resolution input, sampling at strategic points, and computing overcoat amounts from samples. This segmentation enables faster processing while maintaining the precision needed for manufacturing-quality overcoat application.
Solution Approach 2:
The patent performs preliminary action by pre-processing the CMYK bitmap into reduced-resolution representations and pre-identifying sample points before the actual overcoat calculation. This preliminary preparation reduces the computational workload during the critical overcoat determination phase, improving overall processing speed without sacrificing accuracy.
3Measurement precision
If full-resolution data is written to bitmap memory, then measurement precision is improved, but loss of energy increases
Solution Approach 1:
The patent extracts only the essential information from full-resolution bitmap data by creating reduced-resolution representations and selecting representative sample points. This extraction process removes redundant pixel data that would consume memory bandwidth, while retaining sufficient detail for accurate overcoat ink determination.
Solution Approach 2:
The patent segments the bitmap data into compressed representations and sample sets, avoiding the need to load and process the entire high-resolution image into memory. This segmentation reduces memory bandwidth utilization by only transferring and processing the minimal data required for overcoat calculations.
Data Source
AI summary
A method is disclosed. The method includes analyzing color planes of a compressed sheetside image and generating an overcoat plane based on the color planes.