Image Formation Apparatus Segmentation of Diffuse Reflection Components
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Solution Overview
Problem
Current image forming techniques struggle to accurately reproduce the material appearance of objects due to the non-linear changes in diffuse reflection characteristics when observing light sources, as they fail to distinguish between internal and surficial diffuse reflection components effectively.
Innovation Solution
An information processing apparatus that inputs and processes the characteristics of specular reflection, internal diffuse reflection, and surficial diffuse reflection to derive signal values for forming distinct recording layers on a medium, allowing for precise reproduction of an object's reflection characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single diffuse reflection characteristic is used to represent all diffuse reflection light, then the measurement and processing is simplified, but the reproduction accuracy under different observation light sources deteriorates
Solution Approach 1:
The patent segments the diffuse reflection light into two distinct components: internal diffuse reflection light (scattered and absorbed within the object) and surficial diffuse reflection light (reflected by surface micro-unevenness). By separating these components with different physical characteristics and light source dependencies, the system achieves accurate reproduction under various observation conditions while maintaining manageable measurement and processing complexity through targeted measurement approaches for each component.
2Manufacturing precision
If the BRDF is processed intact without approximation, then the reproduction accuracy of material appearance is improved, but the data amount and processing complexity increase significantly
Solution Approach 1:
The patent divides the complex BRDF into separate components (specular reflection, internal diffuse reflection, and surficial diffuse reflection) that can be measured and processed independently. This segmentation reduces the overall complexity by allowing each component to be handled with appropriate measurement techniques and mathematical models, avoiding the need to process the entire BRDF intact while preserving the essential characteristics needed for accurate material appearance reproduction.
Solution Approach 2:
The patent extracts and separately processes the surficial diffuse reflection component, which has distinct characteristics from other reflection components. By isolating this component that is primarily influenced by surface micro-structure, the system can apply specific processing techniques tailored to this component, reducing the complexity of handling the complete BRDF while maintaining reproduction accuracy.
3Device complexity
If conventional image forming techniques are used that do not distinguish between internal and surficial diffuse reflection, then the processing is simpler, but the reproduction accuracy of material appearance under varying light sources deteriorates
Solution Approach 1:
The patent implements segmentation of diffuse reflection into internal and surficial components, each processed with appropriate techniques. This allows the system to achieve accurate material appearance reproduction under varying light sources by accounting for the different behaviors of each component, while keeping processing complexity manageable through specialized handling of each segmented component rather than attempting to process all reflection characteristics uniformly.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the correct reproduction of an object's material appearance by calculating color signal values for color material layers based on internal diffuse characteristics and clear ink amounts for shape layers based on specular and surficial diffuse characteristics, resulting in improved image formation accuracy.
Implementation Method 1
a characteristic of specular reflection light as a reflected light component in a specular reflection direction with respect to a surface of the object
Implementation Method 2
a characteristic of internal diffuse reflection light as a reflected light component after scattering and absorption in the object
Implementation Method 3
a characteristic of surficial diffuse reflection light as a reflected light component diffused by the surface of the object
Data Source
AI summary
An information processing apparatus generates a signal value for forming an image of an object as a recording layer on a recording medium. The apparatus inputs a characteristic of specular reflection light, a characteristic of internal diffuse reflection light, and a characteristic of surficial diffuse reflection light. Then, the apparatus derives, based on the characteristic of the internal diffuse reflection light, a first signal value for a first recording layer to be formed on the recording medium, and derives, based on the characteristic of the specular reflection light and the characteristic of the surficial diffuse reflection light, a second signal value for a second recording layer different from the first recording layer to be formed on the recording medium.