Video Processor Anamorphic Scaling Panning Adjustment
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Solution Overview
Problem
Conventional video processing systems face challenges in maintaining image quality, particularly smoothness and sharpness, during zooming and scaling operations, especially when transitioning between different aspect ratios, as they often result in a jarring effect due to non-uniform scaling and panning.
Innovation Solution
A video processor system that detects panning in scaled images and adjusts the end portions of frames by combining information from previous and subsequent frames, using anamorphic scaling and interpolation to minimize the jarring effect, and can digitally zoom images by incorporating frames captured at different angles to enhance image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If non-uniform scaling is used to support various aspect ratios, then adaptability is improved, but image quality deteriorates due to jarring effects
Solution Approach 1:
The system performs preliminary detection of panning motion in the current frame, and preemptively adjusts end portions of the frame by combining information from previous and subsequent frames before displaying the image, thereby preventing jarring effects from occurring
Solution Approach 2:
The system introduces an intermediary processing step that combines information from multiple frames (previous, current, and subsequent) to create an adjusted end portion that smoothly transitions between different aspect ratios, mediating between the conflicting requirements of adaptability and image quality
2Manufacturing precision
If panning detection and frame adjustment are implemented, then image quality is improved, but device complexity increases
Solution Approach 1:
The system applies complex processing only to specific regions (end portions of frames where panning occurs) rather than the entire image, and only when panning is detected, thereby reducing overall processing complexity while maintaining image quality in critical areas
Solution Approach 2:
The system uses information from already-acquired previous and subsequent frames to adjust the current frame, leveraging existing data resources to perform the adjustment without requiring additional complex hardware or external inputs
Data Source
AI summary
A method and system are provided in which a video image may be scaled from a first to a second video format. The scaling may be a non-uniform scaling such as an anamorphic scaling. When panning associated with the scaled video image is detected, one or more end portions of a current frame of the scaled video image may be adjusted, the adjustment being based on one or more frames of the scaled video image that are previous to the current frame. The adjustment may result from combining information from the corresponding end portion of previous frames with the information of the current frame. One or more end portions that are opposite to the ones adjusted may also be adjusted based on one or more frames of the scaled video image that are subsequent to the current frame. The panning detected may be horizontal, vertical, or a combination thereof.