Cloud Rendering Pipeline With Postprocessing for Image Quality
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cloud rendering technologies produce images with poor quality, as they lack the capability to utilize additional image processing functions beyond basic rendering.
Innovation Solution
Integrate postprocessing programs that provide image processing capabilities not available in cloud rendering applications, allowing for enhanced image processing after initial rendering is completed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If only cloud rendering application is used for rendering, then the rendering process is simple, but the image processing capability is insufficient leading to poor image quality
Solution Approach 1:
The rendering system is segmented into two independent components: a cloud rendering application for basic rendering and a postprocessing program for advanced image processing. This segmentation allows each component to specialize in specific tasks, improving overall image quality without requiring a complete redesign of the rendering system.
Solution Approach 2:
The patent merges the cloud rendering application with postprocessing programs to create a hybrid rendering system. The rendering task is divided into two stages: initial rendering by the cloud rendering application, followed by enhanced processing by the postprocessing program, combining the strengths of both approaches.
2Adaptability or versatility
If postprocessing programs are integrated into cloud rendering, then image processing capability is enhanced, but the system complexity increases
Solution Approach 1:
The postprocessing program is designed with multi-functionality, capable of performing various image processing tasks such as anti-aliasing, sharpening, and color correction. This universal program handles multiple image enhancement needs, reducing the requirement for multiple specialized programs and thereby limiting the increase in system complexity.
Solution Approach 2:
The postprocessing program acts as an intermediary between the cloud rendering application and the final image output. It receives the initial rendered image, applies necessary enhancements, and produces the final output, mediating the transformation process without requiring direct integration between all system components.
3Adaptability or versatility
If multiple postprocessing programs are used, then image processing versatility improves, but the execution time and complexity increase
Solution Approach 1:
The system allows selective application of postprocessing programs based on the specific rendering requirements. Not all postprocessing effects are applied to every image; instead, only the necessary processing steps are executed, avoiding unnecessary time consumption while maintaining versatility.
Solution Approach 2:
The postprocessing programs are pre-configured with default parameters and processing sequences. This preliminary setup allows the system to execute multiple processing steps efficiently without requiring real-time configuration decisions, reducing execution time while maintaining versatility.
Data Source
AI summary
A client device obtains a rendering instruction delivered by a user. The client device sends a first message to a cloud rendering node, where the first message includes a rendering task and an indication of the cloud rendering node that is to execute the rendering task by using a cloud rendering application and at least one postprocessing program. The postprocessing program is configured to perform an image processing capability that the cloud rendering application is not capable of performing. The client device obtains a second message sent by the cloud rendering node. The second message includes a rendered image obtained by the cloud rendering node by executing the rendering task. The client device displays the rendered image in response to receiving the second message.