De-interlacing Pixel Direction Determination via Gradient Bands
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Solution Overview
Problem
Existing de-interlacing techniques face challenges in accurately determining the direction of missing pixels, especially in scenarios with limited hardware resources and during motion, leading to inaccurate interpolation and poor performance in static or globally static images.
Innovation Solution
A method and apparatus that determine whether a pixel is in a strictly static mode, and if not, calculate gradient bands along multiple directions to accurately determine the pixel's direction for interpolation, improving the precision of pixel value interpolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing de-interlacing techniques use interpolation based on direction determination, then pixel values can be obtained, but the accuracy of direction determination deteriorates when hardware resources are limited or in motion scenarios
Solution Approach 1:
The patent applies dynamics by making the de-interlacing method adaptive to different motion states. The system dynamically adjusts its behavior based on motion detection: for static regions it uses simple field copying, for mild motion it uses gradient-based direction determination, and for large motion it employs motion compensation. This dynamic adaptation allows the system to maintain high direction determination accuracy while optimizing hardware resource usage based on actual content requirements.
Solution Approach 2:
The patent changes parameters by introducing motion detection thresholds and adaptive parameter selection. The system evaluates motion magnitude and uses this information to select appropriate processing parameters and methods. By changing the processing approach based on detected motion parameters, the system achieves accurate direction determination without requiring consistently high hardware resources for all scenarios.
2Measurement precision
If existing techniques perform interpolation in motion scenarios, then pixel values can be estimated, but the direction determination becomes greatly difficult especially when image direction presents a relatively small angle
Solution Approach 1:
The patent addresses motion scenario difficulties by implementing dynamic motion compensation. Instead of using fixed interpolation methods, the system adapts its direction determination based on detected motion characteristics. For regions with small angles or complex motion, the system dynamically adjusts the gradient calculation and direction determination process, making accurate pixel value estimation possible even in challenging motion scenarios.
Solution Approach 2:
The patent applies segmentation by dividing the image into different motion regions and processing each region according to its specific motion characteristics. By segmenting the image based on motion detection, the system can apply appropriate direction determination methods to each segment, improving overall interpolation accuracy in motion scenarios while reducing the complexity of detecting and measuring directions in the entire image.
3Productivity
If existing techniques use simple interpolation methods, then processing is faster, but accuracy deteriorates in static or globally static images where details lack clear direction
Solution Approach 1:
The patent resolves this contradiction through dynamic method selection based on motion detection. For static or globally static images, the system detects the lack of motion and automatically selects the most appropriate high-accuracy method (such as gradient-based direction determination or motion compensation), ensuring accurate pixel values are obtained even when details lack clear direction, while maintaining processing efficiency through intelligent method selection.
Data Source
AI summary
Method and apparatus for de-interlacing a television signal are provided. The method includes: determining whether a pixel to be interpolated is in a strictly static mode; if it is in the strictly static mode, obtaining a pixel value of a first pixel in a previous field which corresponds to the pixel to be interpolated, and setting a pixel value of the pixel to be interpolated to be equal to the pixel value of the first pixel; if it is not in the strictly static mode, determining gradient bands along a plurality of directions by taking the pixel to be interpolated as a center, determining a direction of the pixel to be interpolated based on the gradient bands, and setting the pixel value of the pixel to be interpolated by interpolation based on the direction. Accuracy of the pixel value of the pixel to be interpolated may be improved.