Image Processing Apparatus Luminance Correction Overlap Regions
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Solution Overview
Problem
Existing image processing apparatuses struggle to create a natural and recognizable surrounding image when connecting multiple images captured by different cameras, due to variations in brightness, leading to unnatural images and difficulty in recognizing content.
Innovation Solution
An image processing apparatus that sets specific correction values for overlapping regions between camera views, using a hardware processor to adjust luminance and apply interpolation formulas to ensure smooth transitions and prevent extreme brightness variations, thereby generating a recognizable surrounding image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If luminance correction is applied to connect multiple images, then the connection between images becomes smoother, but the image may become entirely too dark or too bright, making content unrecognizable
Solution Approach 1:
The patent applies different correction values to different regions within the same image. Specifically, it sets a first correction value for a first region of interest in a first overlap region, a second correction value for a second region of interest in a second overlap region, and an individual correction value for regions between these interests. This localized approach ensures that each region is corrected according to its specific luminance characteristics, preventing uniform over-correction that would make the entire image too dark or too bright while still achieving smooth connections at overlap regions.
2Illumination intensity
If average luminance correction is applied to the entire screen, then the overall brightness is balanced, but directional brightness variations remain noticeable at connection positions
Solution Approach 1:
The patent divides the image into multiple regions of interest, particularly focusing on overlap regions where images are connected. By segmenting the correction approach into specific regions (first region of interest, second region of interest, and intermediate regions) rather than applying uniform correction to the entire screen, the patent achieves both overall brightness balance and local luminance uniformity at connection positions.
3Device complexity
If a reference image with extreme brightness is used for correction, then the correction process is simplified, but the corrected image becomes unnatural and difficult to recognize
Solution Approach 1:
The patent adjusts the correction values dynamically based on the specific luminance characteristics of each region. Instead of using a fixed reference image with extreme brightness that would cause uniform over-correction, the system changes the correction parameters (first correction value, second correction value, individual correction value) to match the actual luminance needs of each region, preserving image naturalness while maintaining correction effectiveness.
Data Source
AI summary
An image processing apparatus includes a hardware processor configured to: acquire a plurality of pieces of image information including image-capturing regions overlapping partially; to set first and second correction values with a predetermined value, the first correction value being used for correction of luminance of a first region of interest included in a first overlap region in which a first image-capturing region overlaps an adjacent second image-capturing region, the second correction value being used for correction of luminance of a second region of interest included in a second overlap region in which the first image-capturing region overlaps an adjacent third image-capturing region; and to set with the first and second correction values an individual correction value used for correction of luminance of a region between the first region of interest and the second region of interest in the first image-capturing region.