Vehicle Image Processing Selective Compression Blind Spot Visibility
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional vehicle display devices experience visibility degradation due to image synthesis and compression issues, particularly around the borders of images captured by different cameras, leading to blind spots and flicker, especially in areas with sharp curves and steep slopes.
Innovation Solution
An image processing device that applies selective image compression to specific areas of the display image, using perpendicular and horizontal compression processing based on vehicle speed, with varying compression coefficients to maintain high visibility and reduce the feeling of strangeness in the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If video images captured by different cameras are synthesized to eliminate blind spots, then the display area is extended, but flicker occurs in the vicinities of the borders between images causing degradation in visibility
Solution Approach 1:
The patent divides the display area into multiple regions corresponding to different camera fields of view, and processes each region separately with appropriate compression ratios. This segmentation approach prevents border flicker by avoiding synthesis of images from different cameras while still eliminating blind spots through strategic camera placement and individual region processing.
Solution Approach 2:
The patent applies different compression ratios to different regions of the display area based on their importance. Critical regions near blind spot boundaries receive lower compression ratios to maintain visibility, while less critical areas can tolerate higher compression. This local quality adjustment prevents visibility degradation while maintaining overall display effectiveness.
2Area of stationary object
If video images captured by a wide angle camera are compressed to fit the display area, then the display area is utilized fully, but the video images are compressed in whole in the vicinities of sharp curves and steep slopes causing deterioration in visibility
Solution Approach 1:
The patent identifies critical areas in the image (such as regions containing sharp curves, steep slopes, or important visual information) and applies lower compression ratios to these areas while using higher compression ratios in less critical regions. This selective compression maintains visibility in important areas while maximizing display area utilization.
Solution Approach 2:
The patent dynamically adjusts compression ratios based on the detected importance of different image regions. The system analyzes each frame to identify critical areas and modifies compression parameters in real-time, ensuring that visibility is maintained in important regions while achieving efficient display area utilization.
3Reliability
If the display screen size is expanded to eliminate blind spots, then visibility is improved, but the device complexity and cost increase
Solution Approach 1:
The patent changes the compression ratio parameter dynamically based on the detected importance of different image regions and the vehicle's operational context. By adjusting this parameter, the system achieves effective blind spot elimination and visibility improvement without requiring larger display screens, thereby avoiding increased device complexity and cost.
Data Source
AI summary
An image processing device includes a data capture unit configured to capture image data obtained around a vehicle, and an image processor configured to apply image processing to a display image based on the image data. The display image is constituted of an n×m number of pixels arranged in a matrix on a display screen having first to n-th horizontal lines (n is an integer of 3 or more) extending in a horizontal direction and first to m-th perpendicular lines (m is an integer of 3 or more) extending in a perpendicular direction. The display image includes a first image area constituted of the pixels in the first to (k−1)th horizontal lines (k is an integer satisfying 2≤k<n), and a second image area constituted of the pixels in the k-th to n-th horizontal lines. The image processor applies image compression processing to the second image area.