Image Calibration for Seamless Panoramic Stitching
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Solution Overview
Problem
Conventional surveillance cameras produce panoramic images with visible stitching vestiges due to differing image parameters like luminance and contrast among captured small dimensional monitoring images, resulting in an inartistic appearance.
Innovation Solution
An image calibration method that compares overlapping regions of two images to analyze color distributions, computes compensation values for luminance and aberration, and adjusts pixel values to unify image parameters, thereby eliminating stitching vestiges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If conventional image stitching technology is used to stitch multiple small dimensional monitoring images, then a panoramic image containing a large dimensional scene can be formed, but visible stitching vestiges appear due to different image parameters in luminance, contrast and saturation among the captured images
Solution Approach 1:
The patent applies preliminary action by performing image calibration on multiple small dimensional monitoring images before stitching them together. The calibration process adjusts luminance, contrast, and saturation parameters of each image to ensure consistency across all images, thereby preventing visible stitching vestiges in the final panoramic image while maintaining comprehensive scene coverage
2Adaptability or versatility
If multiple image receivers with unique hardware and software settings are used to capture monitoring images, then a large dimensional scene can be monitored, but the captured images have different image parameters resulting in inartistic appearance
Solution Approach 1:
The patent applies local quality by performing targeted calibration on specific image parameters (luminance, contrast, saturation) for each image receiver's output. The calibration process individually adjusts parameters for each image based on its specific characteristics, allowing different hardware and software settings to produce uniformly appearing images when stitched together
3Productivity
If conventional stitching method is used without calibration, then the stitching process is simple and fast, but the overlapping regions show obvious discontinuity and stitching lines
Solution Approach 1:
The patent applies preliminary action by performing calibration on image parameters before the stitching operation. This pre-calibration ensures that overlapping regions have consistent luminance, contrast, and saturation, eliminating visible stitching lines while maintaining efficient processing through automated parameter adjustment
Data Source
AI summary
An image calibration method applied to an image calibration device includes comparing a first image with a second image to acquire a first overlapping region of the first image and a second overlapping region of the second image, analyzing color distribution of the first overlapping region to acquire at least one first base color value, analyzing color distribution of the second overlapping region to acquire at least one second base color value, setting a ratio of the at least one first base color value to the at least one second base color value as an luminance compensation value when the at least one first base color value is greater than the at least one second base color value, and utilizing the luminance compensation value to adjust pixels of the second image. The first overlapping region is overlapped with the second overlapping region.