Edge Node Super-Resolution for Cloud Gaming Bandwidth Reduction
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Solution Overview
Problem
Cloud games face challenges in achieving high-definition visual effects due to increased data processing time and transmission bandwidth and delay, which degrade user experience.
Innovation Solution
Implementing an image processing model trained on a cloud server to reconstruct low-resolution images into high-definition images at an edge node or terminal device, reducing the need for high-definition image rendering and transmission by the cloud server, thereby decreasing bandwidth and time delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the cloud server renders high-definition images directly, then the image quality is improved, but the data processing time and transmission bandwidth increase significantly
Solution Approach 1:
The system segments the image processing workflow into two parts: (1) the cloud server renders low-resolution base images, and (2) edge nodes or terminal devices perform local super-resolution enhancement. This segmentation allows the cloud to handle only essential rendering while distributing the computationally intensive high-definition generation to distributed devices, thereby reducing cloud processing time and bandwidth usage.
Solution Approach 2:
The patent introduces a new dimension of image processing by applying super-resolution technology that transforms low-resolution images into high-definition images through algorithmic enhancement rather than direct rendering. This dimensional transformation occurs in the resolution space, allowing the system to achieve high-definition output without proportionally increasing the input rendering complexity.
2Manufacturing precision
If the cloud server transmits high-definition images through the network, then the visual effect is improved, but the transmission bandwidth and time delay increase
Solution Approach 1:
The transmission process is segmented such that only low-resolution base images are transmitted through the network from the cloud server to edge nodes or terminal devices. The high-definition enhancement is performed locally after reception, which dramatically reduces the bandwidth requirement for network transmission while still achieving high-definition visual output.
Solution Approach 2:
The patent introduces edge nodes as intermediary components between the cloud server and terminal devices. These edge nodes receive low-resolution images from the cloud, perform super-resolution enhancement, and then transmit or display the high-definition images locally. This intermediary approach reduces the bandwidth burden on the main network while maintaining high-definition quality.
3Manufacturing precision
If the cloud server renders high-definition images, then the image resolution is improved, but the transmission time delay increases
Solution Approach 1:
The system performs preliminary rendering of low-resolution base images on the cloud server, which are then enhanced to high-definition resolution at the edge or terminal level. This preliminary action approach allows the cloud to complete its rendering task quickly with lower resolution requirements, reducing the time delay before images are available for local enhancement and display.
Data Source
AI summary
Embodiments of the present disclosure provide a method, an electronic device, and a program product for image processing. In one embodiment, a method may include: at an edge node of a network, obtaining a first image generated based on data associated with a target event, wherein the first image has a first resolution ratio. Additionally, the method may further include: sending a second image converted from the first image to a terminal device, wherein the second image has a second resolution ratio higher than the first resolution ratio. According to the embodiments of the present disclosure, by rendering a low-resolution-ratio image at a cloud server and transmitting the image to an edge node or a terminal device for reconstructing a high-resolution-ratio image, the bandwidth and time delay of high-definition image transmission can be significantly reduced, so that the user experience is improved.