Video Enhancement via Frame Attribute Mapping
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Solution Overview
Problem
Existing video enhancement technologies are inflexible and ineffective, as they apply the same enhancement operations to all frames in a video, failing to adapt to varying content scenarios, which can deteriorate video quality.
Innovation Solution
A method and device that acquire each frame in a video, determine attribute information such as moving state or luminance, and use a preset mapping relationship to obtain control parameters for differential video enhancement, allowing for frame-based processing with varying control parameters based on specific attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the same enhancement operation is applied to all frames in a video, then the processing is simple and efficient, but the enhancement effect deteriorates when video content varies significantly
Solution Approach 1:
The patent applies dynamics by making the enhancement operation adaptive rather than fixed. The system determines attribute information (moving state, luminance) for each frame and selects different enhancement operations based on these attributes, allowing the processing method to change dynamically according to frame characteristics while maintaining both efficiency and quality.
Solution Approach 2:
The patent changes the parameter of enhancement operation selection based on frame attributes. By mapping attribute information to different enhancement operations through a preset mapping relationship, the system adjusts processing parameters dynamically, resolving the contradiction between simple processing and high-quality enhancement for varied content.
2Reliability
If differential enhancement operations are applied to different frames based on attributes, then the enhancement quality improves, but the processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining the mapping relationship between attribute information and enhancement operations before actual processing. This preset mapping allows the system to quickly determine the appropriate operation for each frame without complex real-time decision-making, reducing processing complexity while maintaining high enhancement quality.
Solution Approach 2:
The system performs self-service by automatically determining attribute information and selecting enhancement operations independently for each frame. The frame-based processing automatically adapts to different video content without requiring external intervention or complex control mechanisms, simplifying the overall processing architecture while achieving differential enhancement.
Data Source
AI summary
The disclosure discloses a video enhancement method and device, and belongs to the field of image processing. The method includes that: each frame in a video is sequentially acquired; and for each current frame, attribute information reflecting a moving state or luminance is determined, a preset mapping relationship is searched to obtain a control parameter corresponding to the attribute information, and video enhancement operation is executed on the current frame by using the control parameter. The device includes: an acquisition module and an enhancement module. By the disclosure, the problem of processing inflexibility caused by execution of the same enhancement over each frame in the video is solved, each frame in the video may be differentially enhanced, frame-based video enhancement is implemented, a video enhancement effect is effectively improved, and quality of the video is improved.