Image Capture Apparatus Scene Parameter Adaptation
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Solution Overview
Problem
Conventional digital cameras capture images based on default parameters, which can lead to reduced image quality due to changing environments and camera positions, as they fail to adapt to specific scene characteristics.
Innovation Solution
A capturing apparatus with a processing unit that compares captured images to pre-stored standard images, adjusting capture parameters such as focus, color, brightness, and exposure based on similarity matches, using modules like capture control, image processing, determination, parameter acquisition, and output control to optimize image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If default parameters are used for image capture, then the operation is simple and fast, but the image quality deteriorates when environment or camera position changes
Solution Approach 1:
The system pre-stores multiple sets of capture parameters corresponding to different standard images (landscapes, portraits, cityscapes, etc.) before actual image capture. When a standard image is detected through comparison, the pre-stored parameters are directly applied, eliminating the need for real-time parameter adjustment and ensuring high image quality without complicating the user operation.
Solution Approach 2:
The system changes capture parameters (focus, color, brightness, contrast, exposure time, white balance) based on the detected scene type. By comparing the captured image with standard images and identifying the closest match, the system automatically selects and applies the appropriate parameter set, thereby adapting to different environments and maintaining consistent image quality.
2Reliability
If capture parameters are adjusted for different scenes, then the image quality improves, but the device complexity increases
Solution Approach 1:
The system uses pre-stored standard images as templates or copies representing different scene types. By comparing the captured image against these standard copies, the system can identify the scene type and apply corresponding parameters without requiring complex real-time analysis or multiple specialized sensors, thus improving image quality while limiting complexity growth.
Solution Approach 2:
The image comparison and parameter selection system serves multiple functions: it identifies scene types, determines optimal capture parameters, and adapts to various environments (landscapes, portraits, cityscapes, etc.) using a single unified mechanism. This multi-functionality reduces the need for separate specialized systems for each scene type, thereby improving image quality without proportionally increasing device complexity.
3Adaptability or versatility
If image comparison with standard images is performed, then the adaptability to scene characteristics improves, but the processing time increases
Solution Approach 1:
The system performs partial comparison by focusing on key features and characteristics of images rather than exhaustive pixel-by-pixel analysis. By comparing essential attributes (such as overall color distribution, dominant features, and scene composition) with pre-stored standard images, the system achieves sufficient scene identification speed while maintaining good adaptability to different scene characteristics.
4Reliability
If multiple capture parameters are optimized, then the image quality improves, but the control complexity increases
Solution Approach 1:
The system merges multiple parameter adjustments (focus, color, brightness, contrast, exposure time, white balance) into a single unified parameter set that is pre-configured for each scene type. Instead of independently controlling each parameter, the system selects complete parameter combinations based on scene identification, thereby improving image quality through multi-parameter optimization while reducing the actual control complexity to a simple selection process.
Data Source
AI summary
The disclosure provides a capturing apparatus and a capturing method for the capturing apparatus. The method includes steps: controlling the capturing unit to capture an image; performing an image processing function in relation to the captured image to obtain pixels of the captured image; comparing the pixels of the captured image with the pixels of the pre-stored standard images and determining whether a percentage of the pixels of the image is similar to the pixels of one of the standard images. If the percentage of the pixels of the image reaches a threshold of similarity to the pixels of one standard image, acquiring the parameters associated with the standard image; and controlling the capturing unit to capture subsequent images according to the parameters associated with the standard image.