Deblurer API: Fix blurry images

The Deblurer API revolutionizes the way developers handle blurred images, offering a cutting-edge solution that restores clarity and detail with unparalleled precision.

Developer Portal: https://api.market/store/magicapi/deblurer

Use Cases

Certainly! Here are three realistic and detailed examples of how your Deblurer API can be used in real-world scenarios:

1. Enhancing Surveillance Footage

A retail store experiences a break-in overnight, and the security cameras capture footage of the incident. However, the images are blurry due to poor lighting and camera movement.

• Identifying the intruder: By deblurring the footage, the store’s security team can obtain clearer images of the suspect’s face and clothing, which can be shared with law enforcement to help identify and apprehend the intruder.
• License plate recognition: If the cameras capture the suspect’s vehicle, deblurring the footage can help in reading the license plate number, providing a critical lead for the investigation.

2. Improving Medical Imaging

A rural clinic receives ultrasound images of a patient from a mobile health unit. The images are crucial for diagnosing a potential abdominal issue but are somewhat blurry due to movement during the scan.

• Accurate diagnosis: The clinic uses the Deblurer API to enhance the clarity of the ultrasound images, allowing the radiologist to more accurately identify and diagnose the issue, such as an inflamed appendix or kidney stones.
• Telemedicine support: The enhanced images are then shared with a specialist in a larger hospital via telemedicine, facilitating a more informed consultation and ensuring the patient receives timely and appropriate treatment.

3. Restoring Scanned Documents

A law firm is digitizing old case files to create an electronic archive. Some of the scanned documents, including contracts and court transcripts, are blurry due to the condition of the original paper and the quality of the scanner used.

• Readable documents: By applying the Deblurer API, the firm enhances the clarity of these scanned documents, making them legible and easier to review by lawyers and paralegals.
• Improving OCR: The deblurred documents are then processed through OCR software to convert them into searchable text files. This improves the accuracy of the OCR process, ensuring that important details are correctly digitized and can be easily retrieved in future legal research.

Requesting

Endpoint:

POST https://api.magicapi.dev/api/v1/magicapi/deblurer/deblurer

Description:

This endpoint allows you to deblur an image using the Deblurer API.

cURL Request:

curl -X 'POST' \
  'https://api.magicapi.dev/api/v1/magicapi/deblurer/deblurer' \
  -H 'accept: application/json' \
  -H 'x-magicapi-key: API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "image": "https://replicate.delivery/mgxm/e7a66188-34c6-483b-813f-be5c96a3952b/blurry-reds-0.jpg"
}'

Request Body:

• image (string, required): The URL of the blurry image to be deblurred.

Response:

The response will contain the deblurred image.

2. Get Deblurring Prediction

Endpoint:

GET https://api.magicapi.dev/api/v1/magicapi/deblurer/predictions/REQUEST_ID

Description:

This endpoint retrieves the deblurring prediction result for a specific request ID.

cURL Request:

curl -X 'GET' \
  'https://api.magicapi.dev/api/v1/magicapi/deblurer/predictions/REQUEST_ID' \
  -H 'accept: application/json' \
  -H 'x-magicapi-key: API_KEY'

Path Parameter:

• REQUEST_ID (string, required): The unique identifier of the deblurring request.

shashank Member since April 13, 2024

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