Digital Image Composition for Surface Perceptibility
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Solution Overview
Problem
Digital images projected or superimposed onto surfaces can be difficult to perceive when the surface color matches the image content, such as green text on a green surface, making it challenging for users to distinguish and view the information effectively, especially in environments where changing the surface is impractical.
Innovation Solution
The method involves evaluating the viewing surface and rearranging or recoloring the logical objects of a digital image to maximize their perceptibility by determining the spatial arrangement and coloration based on the surface's light reflection or transmission properties, ensuring the image remains legible and understandable while enhancing visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a digital image is projected or superimposed onto a surface, then the image can be displayed on various surfaces, but the perceptibility of the image deteriorates when the surface color matches the image content
Solution Approach 1:
The system performs preliminary evaluation of the viewing surface's light reflection or transmission properties before composing the digital image. By analyzing the surface characteristics in advance, the system determines appropriate spatial arrangements and colorations for logical objects that will maximize perceptibility on that specific surface, preventing the perceptibility issue before it occurs.
Solution Approach 2:
The system applies different spatial arrangements and colorations to different logical objects based on their specific perceptibility requirements on the evaluated surface. Each logical object is optimized locally for its position and appearance, rather than applying a uniform composition to the entire image, thereby maximizing overall perceptibility across the digital image.
2Difficulty of detecting and measuring
If the spatial arrangement and coloration of logical objects are changed to improve perceptibility, then the image becomes more visible, but the complexity of image composition increases
Solution Approach 1:
The system changes parameters such as spatial position and coloration of logical objects based on the evaluated viewing surface properties. By systematically adjusting these parameters according to surface characteristics, the system improves perceptibility through a methodical approach rather than arbitrary modifications, managing complexity through structured parameter optimization.
Solution Approach 2:
The system automatically evaluates the viewing surface and autonomously determines the optimal spatial arrangement and coloration of logical objects without requiring manual intervention. This self-service composition process handles the complexity internally, allowing users to benefit from optimized perceptibility without directly managing the composition complexity.
3Difficulty of detecting and measuring
If the surface onto which the image is projected is changed to improve perceptibility, then the image becomes more visible, but this is impractical in many cases
Solution Approach 1:
Instead of changing the surface to improve perceptibility, the system inverts the approach by keeping the surface unchanged and modifying the digital image composition to adapt to the surface characteristics. This inversion makes the solution practical by avoiding the need to physically change surfaces while still achieving improved perceptibility through automated image composition adjustments.
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 enhances the perceptibility of digital image elements on various surfaces without altering their meaning, improving user experience by ensuring critical information is easily visible even on surfaces with similar colors, such as green text on a green background.
Implementation Method 1
evaluating light reflected from, or transmitted through, a viewing surface
Implementation Method 2
evaluating light reflected from, or transmitted through, a viewing surface
Data Source
Figure 1
Figure 2A~2B
Figure 2C
AI summary
Teachings herein compose a digital image so that the image is perceptible on a viewing surface, such as a projection surface or a transparent screen. In doing so, the teachings advantageously recognize a digital image as consisting of one or more logical objects, like buttons of a user interface. Often, logical objects may be spatially arranged within the image and/or colored in different possible ways without substantially affecting the meaning conveyed by the image. Exploiting this, teachings herein evaluate light reflected from, or transmitted through, the viewing surface, and compose the digital image from one or more logical objects that have a spatial arrangement or coloration determined in dependence on that evaluation. The teachings might, for example, place a logical object within the image so that it will be displayed on a region of the surface which has high contrast with the object's colors and/or low color variance.