AVM Image Matching Brightness Correction
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Solution Overview
Problem
The existing around view monitoring (AVM) systems experience step differences and ghost phenomena due to brightness differences between images, particularly during the image synthesis process, which affects the quality of the output image.
Innovation Solution
An image matching method that extracts image information from overlapping regions, determines a correction value based on this information, and applies gradual correction to reduce noise and brightness differences, thereby preventing step differences and ghost phenomena.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alpha blending method is used for image synthesis, then image information can be combined, but brightness step differences and ghost phenomena occur
Solution Approach 1:
The patent applies preliminary action by performing brightness correction on images before synthesis. The system extracts brightness information from overlapping regions, calculates correction values, and applies gradual correction to reduce brightness differences before the images are combined, preventing step differences and ghost phenomena in the final synthesized image
Solution Approach 2:
The patent changes the brightness parameter of images through gradual correction. By extracting brightness information from overlapping regions and calculating correction values, the system adjusts brightness parameters incrementally to eliminate step differences while maintaining image quality during synthesis
2Area of stationary object
If multiple cameras are used to capture wide viewing angle, then coverage is improved, but brightness differences between images increase
Solution Approach 1:
The patent applies local quality by focusing correction on overlapping regions between images. The system extracts brightness information specifically from these overlapping areas and applies localized correction values to ensure uniform brightness across the entire synthesized image while maintaining the wide viewing angle coverage provided by multiple cameras
3Area of stationary object
If fish eye lens is used to acquire wide viewing angle, then image coverage is improved, but image distortion increases requiring complex processing
Solution Approach 1:
The patent extracts only the necessary brightness information from overlapping regions of distorted fish-eye images. By focusing on extracting and correcting brightness parameters rather than attempting to correct all aspects of distortion, the system simplifies the processing requirements while still achieving uniform brightness in the final synthesized image
Data Source
AI summary
An image matching method and apparatus are disclosed. The method according to the present embodiment comprises: a step of acquiring source image; a step of acquiring a transformation image, by converting the display mode of the source images into a top view and adjusting the brightness thereof through auto exposure (AE); a step of acquiring image information; and a step of generating a target image comprising a first area and a second area in an overlap area in which pixels of a corrected transformation image are disposed on the basis of the image information, wherein the correction comprises gradation correction of the pixels of an image disposed in the first area and pixels of an image in the second area.