Composite Image Color Correction Using Infrared Luminance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional imaging apparatuses face challenges in generating appropriately composed images from visible light and infrared light images due to varying luminance, leading to inconsistent saturation levels based on color, which affects the quality of the composite image.
Innovation Solution
An image processing apparatus and method that utilize a correction coefficient based on the color component of the visible light image to adjust the luminance and chrominance components of the composite image, ensuring appropriate color representation by alpha-blending luminance signals and correcting saturation levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gain of chrominance signal is increased to improve color representation, then color saturation is enhanced, but saturation becomes too high or too low depending on color, causing inconsistent color representation
Solution Approach 1:
The patent applies local quality by dividing the image into multiple color regions (red, green, blue, yellow, etc.) and applying different gain coefficients to each region. This allows each color component to be adjusted independently based on its specific luminance characteristics, ensuring consistent saturation across all colors while maintaining accurate color representation.
Solution Approach 2:
The patent changes the gain parameter of the chrominance signal based on the color component and luminance signal characteristics. By dynamically adjusting the gain coefficient according to the specific color and luminance level, the system achieves appropriate saturation for each color region, resolving the contradiction between color representation accuracy and saturation consistency.
2Quantity of substance
If luminance signal is composed from visible light and infrared light images, then image information is enhanced, but luminance variation differs by color, making it impossible to obtain an appropriately composed image
Solution Approach 1:
The patent applies local quality by processing each color component (R, G, B) separately in the luminance composition process. Different weighting coefficients are applied to visible light and infrared light images for each color channel based on its specific luminance characteristics, ensuring accurate luminance composition for each color while maximizing information utilization.
Solution Approach 2:
The patent performs preliminary action by calculating appropriate weighting coefficients for each color component before composing the luminance signal. This pre-calculation of coefficients based on luminance characteristics ensures that the subsequent composition process achieves accurate color representation and consistent saturation across all regions.
Data Source
AI summary
An image processing apparatus obtains a visible light image and an infrared light image, and generates a color component of a composite image using a color component of the visible light image, and generates a luminance component of the composite image using luminance components of the infrared light image and the visible light image. The image processing apparatus corrects the color component or the luminance component of the composite image, using a correction coefficient determined based on the color component of the visible light image.