Adaptive Metal Texture Selection by Observation Distance
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Solution Overview
Problem
Conventional decoration techniques for metal textures do not consider observation distance, leading to varying perception of metal texture quality based on the distance between the observer and the decorated object.
Innovation Solution
An image processing method that acquires information about the observation distance and selects appropriate texture data based on this information to enhance the perceived metal texture quality by adjusting the skewness of the luminance histogram.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single texture data is used for metal decoration, then the decoration process is simple, but the decoration effect deteriorates when observation distance changes
Solution Approach 1:
The patent applies dynamics by making the texture data selection adaptive to the observation distance. Instead of using a fixed texture data, the system dynamically selects appropriate texture data based on the actual or estimated observation distance, allowing the decoration effect to remain consistent across different viewing conditions while maintaining a relatively simple automated process
Solution Approach 2:
The patent changes the parameter of texture data selection based on observation distance. By adjusting which texture data is applied according to the observation distance parameter, the system maintains reliable decoration effects across different viewing distances without requiring manual intervention for each condition
2Reliability
If texture data is selected based on observation distance, then the decoration effect is maintained, but the processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-categorizing multiple texture data into different groups based on their suitability for specific observation distances. This pre-prepared classification allows the system to quickly select appropriate texture data without requiring complex real-time analysis, thus maintaining decoration quality while limiting processing complexity
Solution Approach 2:
The system manages complexity by changing only the selected texture data parameter based on observation distance rather than redesigning the entire decoration pipeline. This targeted parameter adjustment maintains decoration effect quality while adding minimal processing complexity
3Reliability
If multiple texture data are prepared for different observation distances, then the decoration quality is maintained, but the data management complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the texture data into multiple groups categorized by their suitability for different observation distances. This segmentation allows the system to manage multiple texture data systematically through predefined categories, maintaining high metal texture reproduction quality while organizing data management in a structured, manageable way
Solution Approach 2:
The system manages texture data complexity by using observation distance as a key parameter for selection. This parameter-based organization simplifies data management compared to unstructured storage, as the system only needs to match the observation distance parameter with the corresponding texture data group
Data Source
AI summary
An image processing method of holding a plurality of texture data for applying a metal representation on an image. The method includes acquiring predetermined information concerning at least one of an observation distance as a distance between a print product on which a target region is printed and an observer observing the print product, a sheet on which the target region is printed, or an environment in which the print product is observed, selecting texture data from the plurality of texture data based on the acquired predetermined information, and applying, to the target region, the texture data selected in the selecting.