Black Bar Detection in Digital TV Video Frames
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Solution Overview
Problem
Existing digital television receivers face challenges in accurately detecting black bars in video signals transmitted in different aspect ratios, leading to inconsistent video presentation and limited flexibility in adjusting to various display formats.
Innovation Solution
A digital television receiver incorporating a black bar detection algorithm that analyzes entire video frames in real-time, using hardware and software edge detection to identify and remove black bars, allowing for flexible aspect ratio adjustments and improved video formatting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a black bar detection algorithm is implemented to identify black bars in video signals, then the ability to detect and remove black bars is improved, but the device complexity increases
Solution Approach 1:
The black bar detection algorithm is divided into separate functional modules: a black bar detector that identifies potential black bars, and a determination logic that verifies their presence. This segmentation allows each module to perform its specific function efficiently, improving detection accuracy while keeping individual module complexity manageable.
Solution Approach 2:
The patent introduces an intermediary determination step between raw black bar detection and final black bar removal. This intermediary layer analyzes multiple lines of video data and applies logical conditions to confirm the presence of black bars, thereby improving detection reliability without requiring overly complex processing in any single component.
2Ease of operation
If the receiver stretches legacy video to fill the full width of the screen, then the video presentation quality is improved, but the ability to accurately identify black bar edges becomes more difficult
Solution Approach 1:
The system performs preliminary detection of black bars in the original video format before any stretching or formatting operations are applied. By identifying black bar positions in the native aspect ratio, the system ensures accurate detection is not compromised by subsequent geometric transformations.
Solution Approach 2:
Instead of attempting to detect black bars after the video has been stretched to fill the screen, the patent inverts the approach by detecting black bars in the original, un-stretched video format. This reversal of the processing sequence ensures that detection accuracy is maintained while still allowing for flexible video presentation options.
3Adaptability or versatility
If the system supports multiple aspect ratios and video formats, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The black bar detection algorithm is designed as a universal solution that works across multiple video formats and aspect ratios (4:3, 16:9, and other legacy formats). By creating a single multi-functional detection mechanism rather than separate detectors for each format, the system achieves high adaptability while avoiding the complexity of multiple specialized components.
Solution Approach 2:
The system dynamically adapts its detection parameters and processing approach based on the detected video format and aspect ratio. This dynamic behavior allows the same hardware and software infrastructure to efficiently handle diverse video formats without requiring dedicated complex processing paths for each format.
Data Source
AI summary
This invention is a preprocessor apparatus and method algorithm facilitating black bar detection in video frames or fields. The preprocessing marks a sharp discontinuity between pixels a predetermined distance apart on each line. On first detection of this discontinuity the location and pixel value is stored. The location and pixel value is also stored for the last discontinuity in the line. This data enables software to detect top horizontal bars, bottom horizontal bars, left vertical bars and right vertical bars.