Image Stitching Device Brightness Adjustment for Vehicle Cameras
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Solution Overview
Problem
When stitching images captured by multiple cameras installed on a vehicle, such as those on side-view mirrors and a rear window, the varying exposure values of different regions can result in uneven brightness, affecting the display quality of the stitched image.
Innovation Solution
An image stitching device and method that adjusts the brightness values of images based on target object brightness values from multiple images, ensuring that all images have a consistent brightness range before stitching, and further normalizes the stitched image to maintain optimal brightness within standard ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If images from multiple cameras are stitched together directly, then the stitching process is simple and fast, but the brightness uniformity across regions deteriorates
Solution Approach 1:
The patent applies preliminary action by performing brightness adjustment on images before stitching. The system calculates exposure differences between images and adjusts brightness values in advance, so that when images are stitched together, they already have matched brightness levels. This prevents brightness inconsistency without requiring complex post-processing.
Solution Approach 2:
The patent changes the brightness parameter of images based on exposure differences. By calculating the exposure difference between multiple images and adjusting brightness values accordingly, the system transforms images with different exposure characteristics into images with unified brightness, resolving the contradiction between simple stitching and brightness uniformity.
2Illumination intensity
If brightness adjustment is performed on all images before stitching, then brightness uniformity is improved, but processing time and complexity increase
Solution Approach 1:
The patent applies local quality by performing brightness adjustment selectively based on exposure differences. Instead of uniformly processing all images, the system identifies which images require adjustment by comparing exposure values and applies brightness correction only where needed. This reduces unnecessary processing while ensuring brightness uniformity in the final stitched image.
Data Source
AI summary
An image stitching method includes: receiving a first image and a second image; determining that both the first image and the second image include a target object; obtaining a first brightness value and a second brightness value, the first brightness value being a brightness value of the target object in the first image, and the second brightness value being a brightness value of the target object in the second image; adjusting a brightness value of the first image and a brightness value of the second image according to the first brightness value and the second brightness value, so as to obtain a first image to be stitched and a second image to be stitched; and stitching the first image to be stitched and the second image to be stitched to obtain a first stitched image.