Multi-Spectral Imaging Exposure Control for Dynamic Scenes
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Solution Overview
Problem
Existing multi-spectral imaging devices face challenges in capturing dynamic scenes as they often require uniform exposure adjustments for all color channels, leading to suboptimal results, especially when dealing with varying light conditions like a bright blue sky, which can result in loss of information in other color separations.
Innovation Solution
A method and system that dynamically adjust the exposure of photosensors for each color channel independently by processing specific groups of images to optimize exposure parameters, allowing for independent setting of effective exposure for mosaic color photosensors and near-infrared sensors, and applying contrast enhancement techniques to generate high-quality multi-spectral images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform exposure adjustments are applied to all color channels, then device operation is simplified, but information loss occurs in certain color separations under varying light conditions
Solution Approach 1:
The patent segments the exposure control into independent channels by processing different color sequences (red, green, blue) separately. Each sequence is evaluated independently to determine optimal exposure parameters, allowing differential exposure adjustments for each color channel rather than applying uniform exposure to all channels.
Solution Approach 2:
The patent applies local quality by optimizing exposure parameters specifically for each color channel based on its individual characteristics and lighting conditions. The system determines exposure parameters for red, green, and blue sequences independently, allowing each channel to have tailored exposure settings rather than a single global exposure setting.
2Measurement precision
If exposure is optimized for one color channel, then image quality for that channel is improved, but other color channels may become overexposed or underexposed
Solution Approach 1:
The patent implements dynamic exposure control where exposure parameters are independently adjusted for each color channel based on real-time scene analysis. The system dynamically determines optimal exposure for red, green, and blue sequences separately, allowing adaptive response to varying lighting conditions across different spectral ranges.
Solution Approach 2:
The patent changes exposure parameters independently for each color channel. The system determines distinct exposure parameters for different color sequences based on their individual intensity distributions and scene characteristics, rather than maintaining a fixed uniform exposure parameter across all channels.
3Productivity
If multiple color sequences are processed simultaneously, then processing efficiency is maintained, but exposure optimization for each channel is compromised
Solution Approach 1:
The patent performs preliminary analysis of each color sequence independently to determine optimal exposure parameters before generating the final multi-spectral image. By pre-processing and evaluating each color channel separately, the system establishes accurate exposure parameters that are then applied to generate the composite image, ensuring both precision and efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the capture of high-quality multi-spectral images by optimizing exposure for each color channel, preventing saturation and ensuring detailed information capture across all spectral ranges, even in challenging lighting conditions, resulting in more accurate and vivid representations of dynamic scenes.
Implementation Method 1
The color filters filter the light by spectral range, such that the separate filtered intensities include information about the color corresponding to the filter
Implementation Method 2
A color filter array (CFA), or color filter mosaic (CFM), is a mosaic of color filters placed over the pixel sensors of an image sensor to capture color information
Data Source
AI summary
A system and method for sampling multi-spectral images of a dynamically changing scene facilitates independently dynamically adjusting the exposure of a photosensor based on a first group of sequences of images, while disregarding a second group of sequences of images, where each sequence of images is of a distinct color of light. In addition, the current description presents an innovative technique for constructing a multi-spectral image of a scene based on individually contrast-enhanced images of the scene. Applications include video photography and high quality true color stills camera with separate sensor arrays for each color channel. The control of the present embodiment can be used to produce photographs with truer color than conventional techniques.