Augmented Image Generation for Public Safety
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Solution Overview
Problem
Compression methods used in image transmission for public safety personnel often result in loss or degradation of image data, obstructing critical details within incident scenes.
Innovation Solution
An electronic device and method that generates augmented images by identifying and associating metadata with compressed images, restoring lost details through comparison with original metadata, and presenting the decompressed images with added metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image compression is applied during transmission, then bandwidth usage is reduced and transmission efficiency is improved, but image quality deteriorates and critical details are lost
Solution Approach 1:
The system performs preliminary identification of critical features and generates metadata from the original image before compression occurs. This advance preparation ensures that important information is captured and preserved in metadata format, which can then be associated with the compressed image to restore lost details.
Solution Approach 2:
Metadata acts as an intermediary between the original high-quality image and the compressed image. The metadata contains extracted feature information that bridges the gap caused by compression, allowing the system to restore critical details that would otherwise be lost in the compressed version.
2Loss of energy
If image compression is applied to preserve bandwidth, then transmission costs are reduced, but image quality and detail preservation worsen
Solution Approach 1:
The system extracts critical feature information from the original image and separates it into metadata. This extraction process removes essential information from the image data stream, allowing aggressive compression to be applied to the remaining data while the extracted features are preserved independently in metadata format.
Solution Approach 2:
The system changes the representation parameters of critical image information by converting visual features into metadata parameters. This parameter transformation allows the information to be stored and transmitted in a compact format that is resistant to compression losses, thereby maintaining reliability while reducing bandwidth consumption.
3Loss of information
If metadata is extracted and associated with compressed images, then image detail restoration is improved, but processing complexity increases
Solution Approach 1:
The system segments the image processing task into distinct components: critical feature identification, metadata generation, image compression, and metadata association. This segmentation allows each component to be optimized independently and simplifies the overall processing pipeline by breaking down the complex task of detail restoration into manageable stages.
Data Source
AI summary
An electronic device and method for generating an augmented image. The device includes an image sensor and an electronic processor. The electronic processor is configured to receive an image, retrieve a set of keywords, and identify a first set of features within the image corresponding to at least one keyword from the set of keywords, producing first metadata. The electronic processor is configured to compress the image, identify a second set of features within the compressed image, producing second metadata, and determine missing metadata between the first metadata and the second metadata. The electronic processor is configured to generate an augmented image by associating the missing metadata to the compressed image and perform at least one selected from the group consisting of transmitting the augmented image to another device and decompressing the augmented image to create a decompressed image and presenting the decompressed image including the missing metadata.