Signal Processing Device for Multi-Image Brightness and White Balance Control
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Solution Overview
Problem
When multiple types of images are generated based on the output of a light reception sensor, differences in characteristics between the images occur due to their types, leading to issues such as varying brightness even when capturing the same subject. This poses a risk that appropriate image acquisition may not be possible if signal processing prioritizes one type of image over others.
Innovation Solution
A signal processing device is implemented with a signal processing section that performs processing on multiple types of images generated by a light reception sensor, and a control section that adjusts signal processing parameters to ensure that the modes of the multiple images become appropriate. This includes controlling parameters for brightness and white balance to achieve appropriate image generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If signal processing prioritizes one type of image over others, then processing efficiency is improved, but image acquisition quality deteriorates
Solution Approach 1:
The patent divides the signal processing into separate processing sections for different image types (first image processing section, second image processing section, etc.), each responsible for specific image types. This segmentation allows simultaneous processing of multiple image types with appropriate parameters for each, achieving both efficiency and quality.
Solution Approach 2:
The control section dynamically adjusts processing parameters based on the type of image being processed. Different processing parameters are applied to different image types (e.g., brightness adjustment for polarization images, white balance for spectral images), enabling optimal processing quality for each image type while maintaining overall system efficiency.
2Manufacturing precision
If processing parameters are optimized for one image type, then that image type's quality is improved, but other image types suffer
Solution Approach 1:
The system segments processing into dedicated sections for different image types, with each section having specialized parameters optimized for its specific image type. This ensures that polarization images receive polarization-optimized processing while spectral images receive spectral-optimized processing, maintaining high quality across all types.
Solution Approach 2:
Different processing parameters are applied locally to different image types based on their specific characteristics. The control section selects appropriate parameters for each image type (brightness adjustment for some types, white balance for others), ensuring each image type receives tailored processing that optimizes its quality while the overall system maintains versatility.
Data Source
AI summary
It is attempted to acquire appropriate images in a case where multiple types of images are generated on the basis of an output of a light reception sensor. A signal processing device according to the present technology includes a signal processing section that performs signal processing on at least one image in multiple types of images generated on a basis of an output of a light reception sensor in which pixels having light receiving elements are arrayed two-dimensionally, and a control section that controls a signal processing parameter in the signal processing section such that modes of the multiple types of images become appropriate.