Imaging Apparatus Scene Analysis via Linear RAW Data Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing imaging apparatuses require a significant length of time for scene analysis processing, which has not been adequately addressed by previous solutions.
Innovation Solution
An imaging apparatus with an image-capturing element that outputs linear image signals, including RAW data, and an analyzing device that performs scene analysis by calculating discrete spectral distributions and absolute brightness values across entire and small areas of the image, allowing for efficient extraction of achromatic areas, feature identification, and determination of photographing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If scene analysis is performed by generating images from raw data, then analysis accuracy is improved, but processing time significantly increases
Solution Approach 1:
The patent performs preliminary actions by extracting spectral characteristics and calculating brightness values directly from raw data before image generation. The analyzing device computes discrete spectral distributions and absolute brightness values in advance, enabling scene analysis without waiting for complete image processing, thus reducing overall processing time while maintaining accuracy.
Solution Approach 2:
The patent segments the image analysis process into independent components: spectral characteristic extraction, brightness value calculation, and scene analysis. By dividing the analysis into small areas and processing them independently, the system can perform scene analysis parallel to image generation, reducing processing time without sacrificing accuracy.
2Measurement precision
If spectral characteristics are analyzed across entire area, then light source identification accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent divides the entire image area into multiple small areas for spectral analysis. This segmentation allows the system to process spectral characteristics in manageable units while still capturing overall light source characteristics, reducing processing complexity without sacrificing identification accuracy.
Solution Approach 2:
The patent applies local quality analysis by examining spectral characteristics in specific small areas while also considering overall image properties. This localized approach enables accurate light source identification without requiring analysis of every pixel, reducing processing complexity while maintaining precision.
3Measurement precision
If multiple color components are processed independently, then feature extraction accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary extraction of spectral characteristics for multiple color components simultaneously from raw data. By preparing and organizing this data in advance before final feature extraction, the system reduces processing time while maintaining the accuracy benefits of multi-component analysis.
Solution Approach 2:
The patent merges the processing of multiple color components by analyzing them together through spectral characteristic extraction rather than sequentially. This combined approach maintains feature extraction accuracy while reducing overall processing time through parallel processing of color information.
Data Source
AI summary
An imaging apparatus comprises an image-capturing element that outputs image signals representing a plurality of color components and an analyzing device that analyzes a captured photographic image based upon image signals with linearity, which are output from the image-capturing element.


