Image Processing With Static Pixel Recovery for Stereo Matching
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Solution Overview
Problem
Existing image processing technologies do not utilize or suggest how to process the pixel values of static pixels in areas outside the motion region, and there is no disclosure on generating static images using these pixel values.
Innovation Solution
An image processing device and method that derive static pixel values based on temporal changes in pixel values and generate static images using a controller connected to image devices, including a static pixel value derivation unit and a static image generation unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If stereo matching is performed only for motion regions, then processing time is reduced and productivity is improved, but the pixel values of static pixels are not utilized and information is lost
Solution Approach 1:
The image is segmented into motion regions and static regions. Stereo matching is performed only on motion regions to improve processing speed, while static regions are separately processed to extract static pixel values and generate static images, thus utilizing all available information without increasing overall processing time
Solution Approach 2:
Instead of discarding static pixel values during motion-region-only processing, the invention recovers and utilizes them by deriving static pixel values through temporal change analysis and generating static images, thereby preventing information loss while maintaining processing efficiency
2Measurement precision
If all pixels are used for stereo matching, then measurement precision is improved, but processing time increases and productivity decreases
Solution Approach 1:
The image processing is segmented into two parallel streams: motion region processing for dynamic objects and static region processing for background. This segmentation allows stereo matching to be performed only where necessary (motion regions) while still capturing complete scene information through static image generation, maintaining measurement precision for dynamic objects without the computational cost of processing all pixels
3Measurement precision
If static images are generated using static pixel values, then noise components are reduced and measurement precision is improved, but additional processing steps are required and device complexity increases
Solution Approach 1:
The controller performs multiple functions: it identifies motion regions, performs stereo matching on motion regions, derives static pixel values from temporal changes, and generates static images. This multi-functionality is achieved within a single controller without requiring separate dedicated hardware systems, thus improving measurement precision while minimizing the increase in device complexity
Data Source
AI summary
A static pixel value derivation unit derives a static pixel value of a static pixel in an image based on a temporal change in a pixel value of each pixel in the image. A static image generation unit generates a static image indicating the static pixel value for each pixel based on the static pixel value.