Video Detecting Device Sawtooth Field Motion Detection
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Solution Overview
Problem
Conventional video detecting devices struggle to precisely identify field motion and sawtooth in high-frequency regions, leading to deteriorated picture quality when merging interlaced fields into frames.
Innovation Solution
A video detecting device comprising a first pixel detector, a second pixel detector, and a determining unit that compares intensity values across multiple scan lines in both fields to generate detection values, with a reference pixel detector enhancing sensitivity by selecting nearby pixels for additional sawtooth detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional field motion detection methods are used, then the detection process is simple, but the precision of identifying field motion and sawtooth in high-frequency regions deteriorates
Solution Approach 1:
The detection process is segmented into multiple independent detectors: a first pixel detector for detecting sawtooth at a target pixel, a second pixel detector for detecting sawtooth at a reference pixel, and a determining unit for综合 determining field motion. This segmentation allows each detector to focus on specific detection tasks, improving overall precision without requiring a single complex detection system.
Solution Approach 2:
The invention extends detection from a single pixel dimension to multiple spatial dimensions by incorporating both target pixels and reference pixels from different scan lines. The determining unit integrates detection results across these dimensions, enabling precise identification of field motion in high-frequency regions through multi-dimensional analysis rather than single-point detection.
2Reliability
If field motion is not detected, then the processing speed is fast, but the picture quality deteriorates due to sawtooth artifacts
Solution Approach 1:
The first and second pixel detectors perform preliminary sawtooth detection at target and reference pixels before the final frame is assembled. By detecting potential field motion issues in advance during the detection phase, the system can prevent sawtooth artifacts from appearing in the final output, ensuring picture quality without requiring post-processing corrections that would slow down production.
Solution Approach 2:
The determining unit acts as an intermediary between the pixel detectors and the frame assembly process. It receives detection results from multiple detectors and makes the final determination about field motion, serving as a mediator that coordinates the detection efforts and ensures accurate field motion identification before frame assembly, thereby maintaining both quality and efficiency.
Data Source
AI summary
The present invention provides a video detecting device including a first pixel detector, a second pixel detector, and a determining unit. The first pixel detector compares the intensity of a target pixel of a target scan line in a first field with the intensity of first comparing pixels of scan lines corresponding to the target scan line in a second field to generate a first detection value corresponding to the target pixel. The second pixel detector compares the intensity of a reference pixel of a nearby scan line in the second field with the intensity of second comparing pixels of scan lines corresponding to the nearby scan line in the first field to generate a second detection value corresponding to the reference pixel. According to the first and second detection values, the determining unit generates a diagnostic value which helps determine sawtooth occurrences in video frames.


