Image Processing Apparatus for High-Precision Reflection Characteristic Reproduction
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Solution Overview
Problem
Existing image processing techniques fail to precisely reproduce the reflection characteristic of shaped objects on recording media due to limitations in calculating the glossiness ratio using only specific frequencies from input data, leading to inaccuracies in surface unevenness and glossiness representation.
Innovation Solution
An image processing apparatus that acquires shape and reflection characteristic data, estimates reflection characteristics at each area, and generates recording amount and dot arrangement data to form a shaped object with precise reflection characteristics by combining data from multiple layers, including an uneven layer, a gloss layer, and an image layer, using a combination of ink layers with varying properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If glossiness ratio is calculated using only specific frequency from input data, then calculation process is simplified, but reflection characteristic reproduction precision deteriorates
Solution Approach 1:
The invention segments the reflection characteristic data into multiple frequency components through frequency decomposition. Instead of using only a specific frequency, the method divides the input data into multiple frequency bands and processes each component separately, then synthesizes them to achieve high-precision reflection characteristic reproduction while maintaining manageable calculation complexity through systematic processing of each frequency component.
2Manufacturing precision
If multiple frequency components are used for calculation, then reflection characteristic reproduction precision is improved, but calculation process complexity increases
Solution Approach 1:
The input data is segmented into multiple frequency components using frequency decomposition techniques. Each frequency component is processed independently to determine its contribution to the reflection characteristic, and the results are synthesized to produce the final high-precision output. This segmentation approach manages calculation complexity by breaking down a complex full-frequency analysis into manageable frequency-specific processing steps.
Solution Approach 2:
The invention changes the parameter representation by transforming the input data from spatial or temporal domain into frequency domain through frequency decomposition. This parameter transformation allows for more efficient processing of reflection characteristics by working with frequency components rather than raw data, improving precision while controlling computational complexity through frequency-domain operations.
Data Source
AI summary
An image processing apparatus which generates data for forming a shaped object configured of at least a first layer and a second layer as layers of recording materials on a recording medium, the image processing apparatus includes an acquisition unit configured to acquire data relating to a shape of the first layer and data for expressing a reflection characteristic of the second layer, an estimation unit configured to estimate a reflection characteristic at each predetermined area of the shaped object based on the reflection characteristic data and the shape data, and a generation unit configured to generate at least any one of recording amount data for expressing a recording amount of the recording material and dot arrangement data corresponding to dot arrangement of the recording material on the recording medium in order to form on the recording medium the shaped object having the reflection characteristic estimated by the estimation unit.