Image Super Resolution
This PoC demonstrates two key enhancements using Generative Adversarial Networks (GANs): improving image resolution from low to high and effectively removing motion blur.
Target Users
- Claims Adjusters
- Claims Analysts
- Claims Managers
Business Benefits
- Enhanced operational efficiency
- Reduced processing time
- Improved accuracy and consistency
- Better resource allocation
How It Works
Operational Impact
- Streamlined claims assessments
- Improved accuracy of image-based decisions
- Reduced follow-ups and operational costs
Customer Impact
- Faster, more accurate claims resolution
- Improved customer satisfaction
Technical Highlights
Image Super Resolution
Business Context
Adjusters in the insurance industry face challenges with low-quality or blurred images, leading to delays and inaccuracies in claims processing. Enhancing image quality using super-resolution and deblurring techniques can streamline assessments, improve accuracy, and boost customer satisfaction.
Problem Statement
Low-quality or motion-blurred images from customers complicate insurance claim assessments. This PoC seeks to enhance image super resolution and clarity, facilitating more accurate and efficient claims processing while reducing delays and disputes.
Impact and Importance
Enhancing image super resolution and clarity enables insurance companies to convert low-quality images into high-definition visuals, allowing adjusters to make faster, accurate assessments. This streamlines claims handling, reduces follow-ups, improves customer experience, lowers operational costs, and increases market competitiveness.
Developer Setup
To set up and run this PoC locally, follow these steps:
- Ensure you have Python 3.9+ and Flask installed on your system.
- Clone the repository containing the PoC code. Navigate to the folder and install the dependencies:
pip install -r requirements.txt - Navigate to the ClaimsImageResolution/ and make sure fast api service is running by executing:
python main.py - Upload an Image via the PoC front end for super resolution.
How to Use This PoC
Follow these steps to use the PoC:
- Click on the dotted box to select a document (.jpg, .jpeg, .png).
- Click on "Deblur" or "LR to SR" button to send the file to flask service.
- Wait for the response, which will display "Uploaded Image" and " Processed Image" .
- The Processed Image will show Super Resolution or Deblurring Image.