Video Filter for Nuclear Radiation Speckle Removal
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Solution Overview
Problem
Camera images in nuclear radiation environments are degraded due to transient bright marks or speckling caused by nuclear ionizing radiation, making it difficult to obtain clear images.
Innovation Solution
A digital video filter that uses a two-frame minimum filtering process to replace overly bright pixel readings with the minimum brightness value of successive frames, effectively removing radiation-induced pixel errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a camera is placed in a nuclear radioactive environment to capture images, then the camera can obtain images of the environment, but the images are degraded by transient bright marks or speckling caused by nuclear ionizing radiation
Solution Approach 1:
The system captures multiple successive frames before processing, storing them in a buffer. This preliminary capture of additional temporal data allows the filtering algorithm to identify and remove radiation-induced speckles by comparing brightness values across frames, thereby improving image quality without requiring physical shielding or camera modifications
Solution Approach 2:
A digital video filter is introduced as an intermediary processing stage between the camera sensor and the final image output. This filter compares brightness values of corresponding pixels across multiple frames and replaces anomalously bright pixels (speckles) with values from other frames, effectively mediating the harmful radiation effects and restoring image quality
2Reliability
If multiple successive frames are captured and processed to remove speckling, then image quality improves, but video responsiveness and processing time increase
Solution Approach 1:
The filter processes only the necessary number of frames (N frames) to achieve speckle removal, rather than processing all possible frames indefinitely. By limiting the temporal window to a fixed number of successive frames, the system achieves adequate image quality improvement while constraining processing time and maintaining video responsiveness
Solution Approach 2:
The system changes the temporal parameter by processing N successive frames instead of single-frame processing. This parameter change enables speckle removal through temporal comparison while the specific value of N can be adjusted to balance between image quality improvement and processing speed, allowing optimization for different应用场景
Data Source
AI summary
Disclosed is a video processor for removing interference due to nuclear radiation. The video processor includes a control circuit configured to receive video data from a camera placed in a nuclear radioactive environment, determine a first image from the video data, calculate a first brightness value at a first pixel in a first pixel location in the first image, determine a second image from the video data, calculate a second brightness value at a second pixel in a second pixel location in the second image, compare the first brightness value to the second brightness value, and update the second image by replacing the second pixel in the second image with the first pixel when the second brightness value is greater than the first brightness value. The first image corresponds to a time before the second image, and the first pixel location and the second pixel location are the same location.