Vehicle Image Processing Brightness Correction Overlap Regions
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Solution Overview
Problem
Existing image processing devices for vehicles face issues with brightness inconsistencies when combining images from multiple cameras, leading to discomfort in dark environments due to low overall brightness and noise component emphasis.
Innovation Solution
An image processing device that acquires images from overlapping regions, sets regions of interest, and adjusts brightness using a target value obtained by adding a positive value to the average brightness, limited by a threshold, to enhance visibility in dark conditions and prevent overexposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If brightness is corrected to match a fixed target value, then brightness consistency across images is improved, but noise components in dark environments are emphasized and the image becomes difficult to see
Solution Approach 1:
The patent implements dynamic brightness correction by switching between two different target brightness values based on environment detection. The determination unit identifies whether the environment is bright or dark, and the correction value setting unit selects appropriate target values accordingly. This dynamic adaptation resolves the contradiction by preventing noise emphasis in dark environments while maintaining brightness consistency through context-appropriate correction targets.
Solution Approach 2:
The patent changes the brightness correction parameter (target brightness value) based on environmental conditions. In bright environments, a first target brightness value is used, while in dark environments, a second target brightness value is applied. This parameter adaptation allows the system to maintain brightness consistency without emphasizing noise in dark conditions, as the correction target is adjusted to match the ambient light level.
2Stability of the object's composition
If brightness is corrected using average brightness as target value, then brightness uniformity is improved, but overall image brightness becomes too low in dark environments
Solution Approach 1:
The system dynamically adjusts the target brightness value based on environmental lighting conditions. In dark environments, the determination unit detects the low light level and selects a second target brightness value that is higher than the average brightness, ensuring the corrected image maintains adequate visibility. In bright environments, the first target brightness value (closer to average) is used to maintain uniformity. This dynamic selection resolves the contradiction between uniformity and overall brightness.
Solution Approach 2:
The patent implements parameter changes by setting different target brightness values for different environmental conditions. The correction value setting unit adjusts the target parameter based on whether the environment is bright or dark, as determined by the determination unit. This allows the system to achieve brightness uniformity through correction while preventing the overall image from becoming too dark in low-light conditions.
3Illumination intensity
If brightness correction increases overall image brightness, then visibility in dark environments is improved, but noise components are emphasized and image quality deteriorates
Solution Approach 1:
The system dynamically selects the appropriate target brightness value based on environmental detection. In dark environments, the determination unit identifies the low light condition and the correction value setting unit applies a second target brightness value that increases overall brightness while being constrained by the threshold to prevent excessive noise amplification. This dynamic approach improves visibility without severely degrading image quality through uncontrolled brightness enhancement.
Solution Approach 2:
The patent changes the brightness correction parameter based on environmental conditions, applying a second target brightness value in dark environments that is higher than average but still bounded by a predetermined threshold. This parameter adjustment improves overall image brightness for better visibility while the threshold constraint prevents excessive brightness correction that would emphasize noise and degrade image quality.
Data Source
AI summary
An image processing device includes: an acquisition unit that acquires a plurality of images of which imaging target regions partially overlap with each other, the plurality of images being captured by a plurality of imaging units provided in a vehicle as a surrounding situation of the vehicle; a region-of-interest setting unit that sets a plurality of regions of interest included in a plurality of overlapping regions in which two adjacent imaging target regions overlap with each other; and a first setting unit that sets a correction value for correcting brightness of the plurality of images based on first target brightness. The first target brightness is a value obtained by adding a first positive value to an average value of brightness of all the regions of interest, and is a value equal to or lower than a first threshold value higher than the first positive value.