Image Sensing Apparatus Automatic Color Saturation Adjustment
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Solution Overview
Problem
Current image processing techniques for digital cameras require complex operations and multiple shots to achieve satisfactory results when graying colors other than a designated color, especially for moving subjects, and are limited in applicability to subjects with specific luminance relationships or set backgrounds.
Innovation Solution
An image sensing apparatus that includes a color imaging device, specific color decision device, specific color range decision device, saturation adjustment device, and display control device, allowing for automatic selection and adjustment of a specific color range and saturation changes within or outside this range, enabling efficient and real-time display of images with altered color saturation without repeated complex operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user designates specific color from predetermined candidates or designates portion of image to gray other colors, then color selection accuracy is improved, but operation complexity increases
Solution Approach 1:
The system automatically analyzes the captured image to identify the main subject and determine its color, then automatically sets this color as the specific color to be retained. This self-service approach eliminates the need for users to manually designate colors or portions of the image, resolving the contradiction by achieving accurate color selection through automated subject detection and color analysis.
Solution Approach 2:
The system dynamically adjusts color saturation parameters based on the identified main subject, automatically modifying the saturation of colors matching the subject while reducing saturation of other colors. This parameter-based automatic adjustment resolves the contradiction by achieving precise color control without requiring complex user operations.
2Measurement precision
If user re-designates specific color and re-shoots to achieve satisfactory graying results, then color processing accuracy is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary analysis of the captured image to identify the main subject and pre-determine the appropriate specific color before final processing. By performing this color determination action in advance based on subject detection, the system eliminates the need for repeated designations and re-shooting, achieving satisfactory color processing accuracy in a single shot.
Solution Approach 2:
The system provides real-time feedback by displaying the processed image with automatic color selection, allowing users to verify the results immediately. This feedback mechanism ensures color processing accuracy is achieved correctly the first time without requiring multiple iterations of re-designation and re-shooting.
3Adaptability or versatility
If conventional techniques are used to gray colors in moving subjects, then color processing capability is improved, but operational complexity and time requirement increase significantly
Solution Approach 1:
The system dynamically tracks moving subjects in real-time, continuously updating the identification of the main subject and its color characteristics. This dynamic adaptation allows the system to maintain color processing capability for moving subjects while automatically adjusting to their motion, achieving both versatility and processing speed without requiring manual re-designation for each movement.
Data Source
AI summary
A subject is imaged repeatedly and color images of the subject are obtained. A color histogram is generated from the color subject image obtained and a representative color is decided from the color histogram generated. A specific color range that can be considered a color identical with the representative color is decided from the color histogram and representative color. Color outside the specific color range in the color subject image is changed to gray, an image of the subject in which the non-specific colors have been changed to gray is obtained and the image is displayed. Processing such as deciding the specific color range is repeated. When an instruction to fix the specific color is issued, the specific color range is fixed.