ROI Shading Correction in Image Transmission Systems
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Solution Overview
Problem
Current transmission systems face challenges in efficiently transmitting and processing regions of interest (ROIs) from captured images, particularly in shading correction, which affects image quality and system performance.
Innovation Solution
A transmission device and system that perform shading correction processing on ROI image data based on coordinate information, sending corrected ROI data as payload and accompanying information as embedded data, enabling accurate luminance adjustment for each pixel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all captured images are transmitted, then complete image data is available, but transmission system load increases and may cause system downtime
Solution Approach 1:
The captured image is divided into multiple regions of interest (ROIs) based on coordinate information. Only these specific ROI portions are extracted and transmitted instead of the entire image, reducing transmission data volume while maintaining reliability by focusing on important regions only.
Solution Approach 2:
Specific regions of interest (ROIs) are extracted from the captured image based on coordinate information. Only these extracted ROI portions are transmitted through the system, eliminating the need to transmit unnecessary image data and reducing system load.
2Productivity
If ROI image data is transmitted without shading correction, then transmission efficiency is improved, but image quality deteriorates due to luminance unevenness
Solution Approach 1:
Shading correction processing is performed in advance on the ROI image data before transmission. This preliminary correction of luminance unevenness based on position information ensures that when the ROI data is transmitted efficiently without unnecessary processing delays, the image quality is already optimized and uniform.
3Manufacturing precision
If shading correction processing is performed on ROI data, then image quality is improved, but processing complexity increases
Solution Approach 1:
Shading correction is applied locally to each ROI region based on its specific position information in the captured image. The correction amount varies according to the position, making the correction efficient and targeted rather than applying uniform processing to the entire image, thus reducing overall processing complexity.
4Quantity of substance
If ROI coordinate information is not included, then transmission data volume is reduced, but shading correction cannot be performed accurately
Solution Approach 1:
ROI coordinate information is embedded in advance with the ROI image data. This preliminary inclusion of position information enables accurate shading correction to be performed later based on the known coordinates, ensuring both efficient transmission and precise correction without requiring additional data.
Data Source
AI summary
An object is to implement shading correction processing of some regions of interest (ROIs) cut from a captured image. A transmission device includes: a processing unit that performs shading correction processing on image data of a region of interest (ROI) in a captured image on a basis of coordinate information of the ROI; and a transmission unit that sends the image data of the ROI subjected to the shading correction processing as payload data and sends ROI information as embedded data.