Concavo-Convex Layer Correction for Sharpness
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Solution Overview
Problem
Existing concavo-convex layer forming technologies face challenges in achieving desired shape characteristics due to varying Modulation Transfer Function (MTF) characteristics, which affect the sharpness and appearance of the layer, especially when the amplitude of input data changes, making it difficult to form high-quality concavo-convex shapes using conventional MTF correction techniques.
Innovation Solution
A concavo-convex layer forming apparatus that inputs concavo-convex data and performs correction based on multiple frequency bands, with higher intensity correction for greater amplitudes, using discrete wavelet transformation and gamma correction to ensure faithful representation of the concavo-convex data on a printing medium.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional MTF correction technique is applied, then the sharpness of concavo-convex layer is improved, but the correction intensity cannot be adjusted when amplitude of input data changes
Solution Approach 1:
The correction unit dynamically adjusts the correction intensity based on the amplitude of input concavo-convex data. When the amplitude is large, stronger correction is applied; when the amplitude is small, weaker correction is applied. This dynamic adaptation resolves the contradiction by making the correction process flexible rather than fixed, allowing optimal sharpness enhancement for varying input conditions.
Solution Approach 2:
The system changes the correction parameter (correction intensity) according to the amplitude parameter of the input data. By linking the correction strength to the input amplitude, the system adapts its behavior to different input conditions, thereby improving both sharpness and adaptability simultaneously.
2Manufacturing precision
If higher correction intensity is applied for greater amplitude, then the faithful representation of concavo-convex data is improved, but the complexity of correction processing increases
Solution Approach 1:
The correction unit applies different correction intensities to different regions of the concavo-convex data based on their local amplitude characteristics. High-amplitude regions receive stronger correction while low-amplitude regions receive weaker correction. This localized approach improves faithful representation without uniformly increasing processing complexity across the entire dataset.
Solution Approach 2:
The correction process is segmented into multiple processing stages: amplitude detection, correction intensity determination, and differential correction application. By dividing the correction process into discrete segments, the system manages complexity through structured processing steps rather than monolithic complex algorithms.
Data Source
AI summary
A control apparatus for controlling a concavo-convex layer forming apparatus, includes at least one memory that stores instructions, and at least one processor coupled to the at least one memory, and configured to execute the instructions to cause the control apparatus to function as an input unit configured to input concavo-convex data representing a three-dimensional object, and a correction unit configured to perform correction on the input concavo-convex data in accordance with at least one frequency band of the input concavo-convex data and a filter having an intensity that is made higher for the input concavo-convex data having a greater amplitude on the input concavo-convex data.