Brightness Adjustment for Mosaiced Panoramic Images
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Solution Overview
Problem
Inconsistent brightness in mosaic areas of panoramic images due to differences in imaging environments and lens variations leads to poor display effects in on-board look-around systems.
Innovation Solution
A method that adjusts the brightness of mosaiced images by calculating color average values in shared areas and determining adjustment parameters to achieve target average values, ensuring consistent brightness across the mosaic image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If original images from multiple cameras are directly mosaiced without brightness adjustment, then the mosaicing process is simple and fast, but the brightness consistency in the mosaic area is poor
Solution Approach 1:
The patent divides the image into different regions (first common area, second common area, and first central area) and applies different adjustment strategies to each region. This segmentation allows targeted brightness adjustment in critical overlap areas while using simpler interpolation methods in transition zones, thereby improving overall brightness consistency without requiring complex processing across the entire image.
Solution Approach 2:
The patent implements local brightness adjustment by calculating adjustment parameters specifically for different regions based on their characteristics. The first common area and second common area receive adjustment parameters derived from color average value comparisons, while the first central area uses interpolation between adjacent adjustment parameters. This local quality approach ensures each region gets the appropriate level of adjustment, improving brightness consistency without uniformly complicating the entire processing pipeline.
2Manufacturing precision
If brightness adjustment is applied to all areas of the mosaic image, then the brightness consistency is improved, but the computational time and complexity increase
Solution Approach 1:
The patent applies full brightness adjustment only to critical regions (first common area and second common area) where overlap occurs, while using lighter interpolation-based adjustment for the first central area. This partial action strategy focuses computational resources on areas where brightness consistency is most critical, achieving good overall results without the excessive processing time that would result from applying complex adjustment to the entire image.
Solution Approach 2:
The patent performs preliminary calculations of color average values for the first and second images in the first common area before the actual mosaicing process. This preliminary action allows the adjustment parameters to be pre-determined based on statistical color information, reducing the computational burden during the final image composition stage and thereby reducing overall processing time while maintaining brightness consistency.
3Manufacturing precision
If color average values are calculated and adjustment parameters are determined for multiple common areas, then the brightness consistency is significantly improved, but the calculation complexity increases
Solution Approach 1:
The patent extracts only the essential color information (color average values) from the images in the common areas, rather than performing complex pixel-by-pixel analysis across the entire image. This extraction of key characteristics allows adjustment parameters to be determined based on simple statistical measures, significantly reducing calculation complexity while still achieving effective brightness consistency across the mosaic regions.
Data Source
AI summary
The disclosure provides a method for improving brightness of mosaiced images, which comprises the following steps: determining a first common area shared by a first image to be mosaiced and a second image to be mosaiced, calculating color average values of the first image to be mosaiced and the second image to be mosaiced in the first common area respectively, determining a target average value of the first common area based on the two color average values, and determining an adjustment parameter of the first common area according to the target average value and the color average values; determining a second common area shared by the second image to be mosaiced and a third image to be mosaiced, calculating color average values of the second image to be mosaiced and the third image to be mosaiced in the second common area, determining a target average value of the second common area based on the two color average values, and determining an adjustment parameter of the second common area according to the target average value and the color average values; determining an adjustment parameter of the central area of the second image to be mosaiced according to the adjustment parameters of the two common areas; adjusting display images of respective areas based on the above adjustment parameters.