Adaptive Frame Rate Conversion Reducing Motion Blur
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Solution Overview
Problem
Conventional frame rate conversion techniques for LCDs, especially when up-converting film material to higher frame rates, result in increased motion blur and degraded picture quality due to high interpolation demands and irregular motion portrayal.
Innovation Solution
An image processing method and system that dynamically adjusts the average interpolated picture rate based on variations in the underlying new picture rate, blending original and interpolated pictures to optimize frame rate conversion while minimizing interpolation-induced artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a single interpolated picture is placed between each picture of the 3:2 pull down 60 Hz signal to give a resulting output signal at the desired frame rate of 120 Hz, then the frame rate is increased, but motion blur is not reduced and motion portrayal remains highly irregular
Solution Approach 1:
The patent applies dynamics by making the interpolation process adaptive rather than static. The system dynamically adjusts the number of interpolated pictures generated between original pictures based on detected motion magnitude. When motion is high, fewer interpolated pictures are generated; when motion is low, more interpolated pictures are generated. This dynamic adaptation ensures regular motion portrayal while achieving the desired 120 Hz frame rate.
Solution Approach 2:
The patent changes the parameter of interpolation intensity based on motion characteristics. By detecting motion vectors between original pictures and calculating motion magnitude, the system adjusts the interpolation factor (number of interpolated pictures) as a variable parameter. This allows the frame rate conversion process to adapt to different motion scenarios, maintaining motion portrayal regularity across varying content types.
2Speed
If 4 new interpolated pictures are placed between neighboring 24 Hz original pictures to up-convert film material to 120 Hz, then the frame rate is increased, but picture quality is severely degraded due to the high proportion of interpolated pictures
Solution Approach 1:
The patent changes the interpolation factor from a fixed value (4) to a dynamic parameter based on motion magnitude detection. By calculating motion vectors between original pictures and determining motion strength, the system adjusts the number of interpolated pictures generated. This results in a variable proportion of interpolated versus original pictures in the output stream, improving overall picture quality while maintaining the 120 Hz frame rate.
Solution Approach 2:
The patent implements feedback by detecting motion characteristics between original pictures and using this information to control the interpolation process. The motion detection mechanism provides feedback about the content being processed, allowing the system to adjust interpolation intensity in real-time. This feedback loop ensures that interpolation is applied appropriately based on actual motion conditions, preserving picture quality.
3Reliability
If the frame rate is increased by temporal interpolation, then motion blur is potentially reduced, but computational demands on the interpolator are increased
Solution Approach 1:
The patent optimizes computational efficiency by making the interpolation factor a variable parameter based on motion magnitude. Instead of always generating the maximum number of interpolated pictures (which would maximize motion blur reduction but also maximize computational load), the system adjusts the interpolation factor downward when motion is high and upward when motion is low. This adaptive approach reduces unnecessary computational work while maintaining effective motion blur reduction.
Solution Approach 2:
The patent applies partial action by generating only the necessary number of interpolated pictures required for effective motion blur reduction. Rather than always using full interpolation (excessive action), the system uses motion detection to determine the appropriate level of interpolation needed. When motion is already high, partial interpolation is sufficient; when motion is low, more interpolation can be applied. This avoids unnecessary computational expenditure.
Data Source
AI summary
An image processing method for frame rate conversion, comprising: receiving a stream of input pictures at an input frame rate, at least some of the input pictures being new pictures, the new pictures appearing within the stream of input pictures at an underlying new picture rate; generating interpolated pictures from certain ones of the input pictures; outputting a stream of output pictures at an output frame rate, the stream of output pictures including a blend of the new pictures and the interpolated pictures, the interpolated pictures appearing in the stream of output pictures at an average interpolated picture rate; and causing a variation in the average interpolated picture rate in response to detection of a variation in the underlying new picture rate.