Deinterlacing Artificial Horizontal Line Detection
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Solution Overview
Problem
Conventional deinterlacing methods for digital motion pictures often misjudge artificial horizontal lines as dynamic objects, leading to their disappearance in the predicted field and inefficiently utilize system resources, especially in dynamic scenes.
Innovation Solution
A deinterlacing method and apparatus that correctly detect artificial horizontal lines by comparing pixel values with multiple threshold values, allowing for accurate determination of pixel nature and reducing system resource usage, employing an artificial horizontal line detection unit and processing unit to compute luminance values in a still manner when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single threshold value is used for Bob/Weave detection, then the detection mechanism is simple, but artificial horizontal lines are misjudged as dynamic objects causing line disappearance
Solution Approach 1:
The single threshold value is segmented into multiple threshold values (first threshold and second threshold) to create different detection ranges. The first threshold is used to detect artificial horizontal lines, while the second threshold is used for dynamic object detection. This segmentation allows the system to distinguish between different types of horizontal structures without misjudgment.
Solution Approach 2:
Different threshold values are applied to different detection scenarios locally. The first threshold is specifically optimized for detecting artificial horizontal lines with stable pixel values, while the second threshold is optimized for detecting dynamic objects. This local differentiation of detection parameters improves overall detection accuracy.
2Measurement precision
If multiple threshold values are used for pixel classification, then detection accuracy for artificial lines improves, but system resource consumption increases
Solution Approach 1:
The system performs preliminary detection using the first threshold to identify artificial horizontal lines before proceeding to more complex processing. By pre-classifying pixels based on their stability and comparing them against the first threshold, the system can avoid unnecessary resource consumption on pixels that clearly belong to artificial lines, thus optimizing resource usage while maintaining accuracy.
3Stability of the object's composition
If dynamic interpolation methods are applied to all predicted pixels, then motion smoothness is improved, but artificial horizontal lines disappear in the predicted field
Solution Approach 1:
The interpolation method is changed based on the detected pixel characteristics. For pixels identified as artificial horizontal lines (using the first threshold), the system applies still-object interpolation (Weave method) instead of dynamic-object interpolation (Bob method). This parameter change in the interpolation approach preserves artificial line information while maintaining motion smoothness for actual dynamic content.
Data Source
AI summary
A deinterlacing method for a digital motion picture is provided. The method includes determining if a predicted pixel lies in an artificial horizontal line or not according to the relationship among a first pixel value, a second pixel value, a first threshold value and a second threshold value; and estimating the predicted pixel value in a still image manner if the predicted pixel is determined to lie in an artificial horizontal line. The present invention also includes an apparatus implementing the deinterlacing method.