Layered Post-Capture Image Processing for Low-Latency Messaging
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Solution Overview
Problem
Existing technologies face challenges in efficiently performing image processing operations on digital images captured under varying conditions, which are computationally intensive and latency-prone, especially when performed during image capture.
Innovation Solution
The implementation of an extensible graphical rendering pipeline architecture that supports layering of post-processing operations, allowing for composite media content generation, reduces computational intensity and latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If image processing operations are performed during image capture, then real-time processing capability is improved, but computational intensity and latency increase
Solution Approach 1:
The patent segments image processing operations into multiple layers: capture-time processing (basic operations) and post-capture processing (advanced operations). This segmentation allows real-time capability to be maintained for essential operations while deferring computationally intensive operations to reduce latency impact.
Solution Approach 2:
The system performs preliminary image processing operations during capture that prepare the image for subsequent post-processing. This preliminary action reduces the computational burden during post-processing while maintaining real-time responsiveness for basic operations.
2Manufacturing precision
If multiple post-processing operations are applied to digital images, then image enhancement quality is improved, but computational intensity increases
Solution Approach 1:
Processing operations are segmented into essential (performed during capture) and advanced (performed post-capture) categories. This allows high-quality enhancement through multiple operations while managing computational intensity by distributing operations across different time phases.
Solution Approach 2:
The system applies processing operations selectively based on user needs and device capabilities. Not all post-processing operations are applied to every image, reducing overall computational intensity while maintaining the ability to achieve high enhancement quality when needed.
Data Source
AI summary
Systems and methods described herein provide for retrieving, from a storage device, first image data previously captured by a client device. The systems and methods further detect a selection of a first image processing operation and perform the first image processing operation on the first image data to generate second image data. The systems and methods further detect a selection of a second image processing operation and perform the second image processing operation on the second image data to generate third image data. The systems and methods generate a message comprising the third image data.


