Vehicular Image Synthesis Removing Background Scenes
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Solution Overview
Problem
Conventional around view monitor systems (AVMS) generate vehicular images with background scenes that decrease image fidelity and add unnecessary content, making it difficult for drivers to accurately assess the relationship between the vehicle and its surroundings.
Innovation Solution
An image processing method that pre-processes images by converting pixel data in specific regions to predetermined values, allowing for the comparison and selection of relevant pixel data when overlapping images to generate a vehicular image without background scenes, thereby enhancing image fidelity and providing a clearer driver's field of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a vehicle image is attached to the AVM image to form a completed vehicular image, then the driver can control the relationship between the vehicle and surroundings, but background scenes are included that decrease image fidelity and add unnecessary content
Solution Approach 1:
The patent extracts and removes the background scene region from the vehicle image before compositing it with the AVM image. This is achieved by detecting the vehicle contour, identifying the background region outside the contour, and eliminating this region from the final vehicular image, thereby improving image fidelity by removing unnecessary background content
Solution Approach 2:
The patent segments the vehicle image into two distinct regions: the vehicle body region (inside the contour) and the background region (outside the contour). This segmentation allows selective processing where the vehicle region is retained while the background region is removed, resolving the contradiction between maintaining vehicle visibility and eliminating unnecessary background content
2Reliability
If the complete vehicle image including background is used, then all visual information is preserved, but the image quality decreases due to unnecessary background scenes
Solution Approach 1:
The patent extracts only the essential vehicle region from the complete image by using contour detection to identify the vehicle boundaries. The background portion is extracted and removed, leaving only the necessary vehicle content in the final composite image, thus improving quality while reducing unnecessary content quantity
Data Source
AI summary
An image processing method for generating a vehicular image includes the following steps: providing a first image, wherein the first image has a first specific region, and pixel data of each pixel in the first specific region is converted to a predetermined value; providing a second image, and overlapping the first image and the second image to form an overlapping region; comparing the predetermined value with pixel data of each pixel in the first image overlapped on the second image to generate a comparison result; and determining whether pixel data of each pixel in the overlapping region is pixel data of the first image or pixel data of the second image according to the comparison result, and accordingly generating the vehicular image.