High-Resolution Image Segmentation for Bandwidth Reduction
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Solution Overview
Problem
High-definition display systems, such as those with 8K resolution, require significant bandwidth and storage, leading to high costs for applications that only need high resolution but not high frame rates, making existing systems expensive for applications like auctions or slow animations.
Innovation Solution
A method and apparatus for image processing that segment high-resolution images into sub-images matching the resolution of connected interfaces, adjust frame rates, and convert formats to reduce system performance requirements, allowing for playback on ordinary devices like PCs, using techniques like image segmentation, synchronization, and frame rate adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If an existing high definition system with 8K@60 Hz@10 bit is used, then high resolution playback is achieved, but bandwidth requirement reaches 59.8 Gbps and storage space requires 448 GB per minute, leading to high cost
Solution Approach 1:
The patent segments high-resolution images into multiple sub-images corresponding to different display regions or interfaces. By dividing the large 8K/10K image into smaller manageable sub-images, the system reduces the bandwidth and storage requirements for each individual data stream while maintaining the overall high resolution output through composition of these sub-images.
2Manufacturing precision
If an existing high definition system is used for applications like auction exhibitions or slow animations, then high resolution is achieved, but the high frame rate capability leads to unnecessary cost increase
Solution Approach 1:
The patent implements dynamic frame rate adjustment where the system adapts the frame rate based on the actual content requirements. For applications like auction exhibitions or slow animations that require high resolution but not high frame rates, the system dynamically lowers the frame rate to match the content needs, reducing processing overhead and system costs while maintaining quality where necessary.
Solution Approach 2:
The system changes key parameters including frame rate, resolution, and bit depth based on application requirements. By allowing flexible parameter adjustment, the system can optimize performance for specific use cases such as auction exhibitions or slow animations, achieving high resolution output without the unnecessary cost burden of maintaining high frame rates for all applications.
3Adaptability or versatility
If high resolution images are segmented into sub-images for interface matching, then system compatibility is improved, but processing complexity increases
Solution Approach 1:
The patent segments high-resolution images into multiple sub-images that correspond to the capabilities of different display interfaces. Each sub-image is processed and output through appropriate interfaces, enabling the system to support multiple resolutions and interface types simultaneously. This segmentation approach improves adaptability while managing complexity through modular processing.
Solution Approach 2:
The patent creates a universal processing framework that can handle multiple interface types and resolutions through a common architecture. The segmentation and composition mechanisms are designed to work across different interface standards, making the system multi-functional and adaptable to various display devices without requiring separate processing paths for each interface type.
Data Source
AI summary
A method for image processing has been disclosed. The method includes obtaining one or more images, wherein the one or more images are played at a first frame rate, segmenting each of the one or more images into a plurality of first sub-images based on a resolution supported by each of a plurality of connected interfaces of a display device, wherein the plurality of first sub-images match the resolution supported by each of a plurality of connected interfaces of a display device respectively, in response to a same synchronizing signal, adjusting synchronously the first frame rate of each of the plurality of first sub-images to a second frame rate respectively, converting each adjusted first sub-image to an output format corresponding to an output format of an interface matching the each adjusted first sub-image, and providing each converted first sub-image to an interface matching the each converted first sub-image.