Image Processing Apparatus Evaluation Table Segmentation
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Solution Overview
Problem
The existing image processing systems face challenges in maintaining the accuracy of determination processing while reducing the data amount of the evaluation table, which increases storage costs.
Innovation Solution
The system employs a memory configuration with a larger capacity for the PC to store a more extensive evaluation table, allowing for accurate determination processing, and uses a controller to decide between one-way and two-way recording based on image data and an evaluation table, which includes specific pixel value sets and weighting values to manage ink overlapping order differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a larger evaluation table is stored in memory to maintain determination accuracy, then manufacturing precision is improved, but device complexity increases due to larger storage requirements
Solution Approach 1:
The evaluation table data is segmented into two parts: a comprehensive evaluation table stored in PC memory and a smaller reference table stored in controller memory. This segmentation allows the PC to access detailed data for accurate determination while the controller uses a compact representation, resolving the contradiction between accuracy and storage complexity.
Solution Approach 2:
The patent transitions from storing complete evaluation tables in both devices to a hierarchical storage structure where the PC holds the full-dimensional evaluation data and the controller holds a reduced-dimensional reference set. This dimensional reduction in the controller's storage resolves the contradiction by maintaining accuracy where needed while reducing overall system complexity.
2Measurement precision
If a comprehensive evaluation table is stored in the controller, then determination accuracy is improved, but storage cost increases
Solution Approach 1:
The patent extracts the full evaluation table from the controller's storage responsibility and relocates it to the PC's memory. The controller retains only essential reference data, thereby extracting the bulk data storage function from the controller. This resolves the contradiction by maintaining determination accuracy through PC-based comprehensive data while reducing the controller's data quantity and associated storage costs.
3Device complexity
If the evaluation table data amount is reduced to lower storage costs, then device complexity is reduced, but determination accuracy deteriorates
Solution Approach 1:
The PC acts as an intermediary between the comprehensive evaluation table and the controller. The PC stores the full evaluation table and processes complex determination tasks, while the controller uses a simplified reference table for basic operations. This intermediary role of the PC resolves the contradiction by enabling accurate determination through comprehensive data access while allowing the controller to maintain low complexity.
Data Source
AI summary
An evaluation table includes: a first pixel value set; a second pixel value set next to and having a larger pixel value sum than the first pixel value set; a third pixel value set having a larger pixel value sum than the second pixel value set; a fourth pixel value set next to and having a larger pixel value sum than the third pixel value set; a fifth pixel value set having a larger pixel value sum than the fourth pixel value set; and a sixth pixel value set next to and having a larger sum than the fifth pixel value set. Each of a difference between pixel value sums of the first and second pixel value sets and a difference between pixel value sums of the fifth and sixth pixel value sets is larger than a difference between pixel value sums of the third and fourth pixel value sets.