Image Capture Edge Highlighting via Dynamic Color Contrast
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Solution Overview
Problem
Existing image capture technologies face challenges in improving the visibility of highlighted edge portions during focus operations, as current methods do not effectively enhance the contrast and recognition of these edges.
Innovation Solution
An image capture apparatus comprising an image generation unit, an edge detection unit, and a color control unit that generates captured images, detects edge portions, and controls the color of the highlighted display based on edge portion information to enhance visibility, using techniques such as hue and brightness differences to create a peaking image with improved edge recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the contour highlighting signal is added to the color difference signal in accordance with its level, then the focus state becomes visually graspable, but the visibility of the highlighted display is insufficient
Solution Approach 1:
The patent applies color changes by selecting highlight colors from multiple candidates (red, green, blue, yellow, magenta, cyan) and choosing the one with the largest color difference from the edge pixel color. This ensures that the highlighted edge portions always use a color that maximizes visual contrast and visibility, regardless of the original edge color in the image.
Solution Approach 2:
The patent changes the color parameter dynamically by calculating the color difference between the edge pixel and each candidate highlight color, then selecting the candidate with the maximum difference. This parameter-based selection adaptively adjusts the highlight color to ensure optimal visibility for each specific edge portion.
2Device complexity
If a fixed color is used for highlighting edge portions, then the processing is simple, but the visibility varies depending on the edge color
Solution Approach 1:
Instead of using a fixed color, the patent dynamically changes the highlight color parameter based on the edge pixel color. By selecting from multiple color candidates and choosing the one with maximum color difference, the system adaptively optimizes visibility while maintaining relatively simple processing through predefined color candidates.
Solution Approach 2:
The patent applies different highlight colors to different edge portions based on their local color characteristics. Each edge pixel is evaluated individually, and the highlight color is selected specifically for that location, ensuring optimal visibility for each local region rather than using a uniform color throughout.
3Illumination intensity
If the highlight color is selected to maximize color difference from edge color, then the visibility is maximized, but the processing complexity increases
Solution Approach 1:
The patent uses parameter changes by calculating color differences between edge pixels and candidate colors, then selecting the candidate with the maximum difference. This systematic parameter-based approach maximizes visibility while keeping processing manageable through the use of a limited set of predefined color candidates.
Solution Approach 2:
The patent employs color changes by utilizing a predefined set of six candidate colors (red, green, blue, yellow, magenta, cyan) and selecting the appropriate one based on color difference calculations. This approach balances visibility maximization with processing efficiency by limiting the search space to a small number of vibrant, visually distinct colors.
Data Source
AI summary
An image capture apparatus according to an embodiment of the present technology includes an image generation unit, an edge detection unit, and a color control unit. The image generation unit generates a captured image by capturing a subject. The edge detection unit detects an edge portion included in the generated captured image. The color control unit controls a color of a highlighted display for highlighting the edge portion for each detected edge portion based on color information about the edge portion in the captured image.