Image Encoding Using Capture Metadata for Real-Time Compression
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Solution Overview
Problem
Conventional image compression methods require complex image analysis, making real-time image capturing and encoding difficult due to the need for determining the importance of each region and analyzing frequency components, which can lead to degraded accuracy and image quality.
Innovation Solution
An image encoding method that obtains imaging information during image capture, generates metadata for determining compression strength based on this information, and encodes the image accordingly, eliminating the need for separate image analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image analysis is performed to determine compression strength, then compression efficiency is improved, but device complexity and processing time increase
Solution Approach 1:
The patent applies preliminary action by obtaining imaging information (exposure value, motion information, brightness) during the image capturing process itself, before the encoding process begins. This allows the encoder to determine compression strength without performing complex image analysis on the captured image, thereby resolving the contradiction between compression efficiency and device complexity.
2Measurement precision
If complex image analysis is performed to determine compression strength, then compression accuracy is improved, but processing speed decreases
Solution Approach 1:
The patent extracts only the necessary imaging information (exposure value, motion information, brightness) during image capture, separating these key parameters from the full image data. This extraction approach maintains compression determination accuracy while avoiding the computational burden of analyzing the entire image, thus achieving real-time processing speed.
3Speed
If image analysis is simplified to enable real-time processing, then processing speed is improved, but analysis accuracy deteriorates
Solution Approach 1:
The patent introduces imaging information (obtained during capture) as an intermediary that mediates between the need for real-time processing and accurate compression determination. Instead of directly analyzing the captured image, the system uses these intermediary parameters to determine compression strength, achieving both real-time speed and accurate compression control.
4Productivity
If separate image analysis process is added, then compression optimization is improved, but overall process complexity increases
Solution Approach 1:
The patent merges the acquisition of compression determination parameters with the image capturing process itself. By obtaining imaging information during capture rather than as a separate post-processing step, the system achieves compression optimization without adding to the overall process complexity.
Data Source
AI summary
An image encoding method includes: obtaining imaging information determined during a process of capturing an image; generating metadata for determining a compression strength of the image based on the imaging information; determining the compression strength of the image based on the metadata; and encoding the image based on the determined compression strength.