Wide Dynamic Range Image Processing Using Mismatch Correction
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Solution Overview
Problem
Wide dynamic range (WDR) image processing methods face challenges in producing high-resolution images without ghost artifacts, particularly when using pixel values from fast-moving images, and may cause distortion due to long exposure times.
Innovation Solution
An image processing method that receives raw data from a sub-pixel array with both short and long exposure pixels, calculates difference values between interpolated values for each channel, sets a mismatching value, and adjusts central pixel values based on this value and a threshold, to correct for artifacts and maintain image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If pixel values from fast moving images are directly used for reconstruction, then high resolution image can be obtained, but ghost artifact may be produced
Solution Approach 1:
The patent performs preliminary actions by calculating difference values between interpolated pixel values and setting mismatching values before final image reconstruction. This preliminary processing identifies and flags potential ghost artifact locations, allowing the system to take preventive measures during reconstruction by selecting appropriate pixel values based on the mismatching assessment, thereby avoiding ghost artifacts while maintaining high resolution.
2Adaptability or versatility
If long exposure time pixels are used, then wide dynamic range is achieved, but distortion in image may be caused
Solution Approach 1:
The patent applies local quality by differentiating processing for different pixel types within the same image. Short exposure pixels and long exposure pixels are processed differently based on their exposure characteristics. The system calculates difference values and mismatching values locally for each pixel position, applying appropriate correction or selection strategies to minimize distortion from long exposure pixels while preserving the wide dynamic range benefits.
3Object-generated harmful factors
If pixel values are interpolated to reduce artifacts, then ghost artifact is reduced, but image resolution may be degraded
Solution Approach 1:
The patent applies partial action by performing interpolation selectively rather than universally. The system calculates difference values and mismatching values to identify specific regions where interpolation is needed, then applies interpolation only to those partial regions where ghost artifacts are detected. This selective approach reduces ghost artifacts while minimizing the impact on overall image resolution by avoiding unnecessary interpolation in clear regions.
Data Source
AI summary
An image processing method includes the operations of receiving N×N raw data from an N×N sub pixel array including a plurality of first exposure pixels and second exposure pixels having different exposure times, respectively; obtaining a difference value between a value obtained by normalizing an interpolated value of the first exposure pixels and an interpolated value of the second exposure pixels for each channel in the N×N sub pixel array based on the N×N raw data; setting a mismatching value to a maximum value among difference values obtained for the respective channels; and setting a corrected value of a central pixel in the N×N sub pixel array based on the N×N raw data and based on the mismatching value and a threshold value.