Denoise and sharpen

Image can be enhanced in few ways, it can be denoised and it can be sharpened (deblurred).

Enhancement	Description
denoise	Reduces the image noise	Noise removal
deblur	Sharpen the image	Out of focus blur reduction
clean	Cleans the image without changing resolution
face_enhance		Enhance face details
light		Enhance lighting and colors
color		Enhance lighting and colors
white_balance		Enhance Lighting

Version of model for denoise or deblur can be parametrized.

There are two models: v1 and v2. v2 which is newer, handles better heavily blurry and noisy pictures. By default v1 is used.

It is not recommended to use that for good quality pictures though.

"denoise_parameters": {
    "type": "v2"
}

"deblur_parameters": {
    "type": "v2"
}

Let's check some examples.

Noise removal

{
    "enhancements": ["denoise"],
    "denoise_parameters": {
        "type": "v2"
    }
}

Curl

curl --request POST \
     --url https://deep-image.ai/rest_api/process_result \
     --header 'content-type: application/json' \
     --header 'x-api-key: API_KEY' \
     --data '{
         "url": "https://deep-image.ai/api-example.png",
         "enhancements": ["denoise"],
         "denoise_parameters": {
           "type": "v2"
         }
      }'

Python client

import os

import deep_image_ai_client

configuration = deep_image_ai_client.Configuration(
    host="https://deep-image.ai"
)

configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]

with deep_image_ai_client.ApiClient(configuration) as api_client:
    api_instance = deep_image_ai_client.DefaultApi(api_client)
    process_payload = {"url": "https://deep-image.ai/api-example.jpg", "enhancements": ["denoise"],
                       "denoise_parameters": {
                           "type": "v2"
                       }}
    api_response = api_instance.rest_api_process_result_post(process_payload)

Out of focus blur reduction

We can also make sharper blurry image like this:

{
    "enhancements": ["deblur"]
}

Curl

curl --request POST \
     --url https://deep-image.ai/rest_api/process_result \
     --header 'content-type: application/json' \
     --header 'x-api-key: API_KEY' \
     --data '{
         "url": "https://deep-image.ai/api-example.png",
         "enhancements": ["deblur"]
      }'

Python client

import os

import deep_image_ai_client

configuration = deep_image_ai_client.Configuration(
    host="https://deep-image.ai"
)

configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]

with deep_image_ai_client.ApiClient(configuration) as api_client:
    api_instance = deep_image_ai_client.DefaultApi(api_client)
    process_payload = {"url": "https://deep-image.ai/api-example.jpg", "enhancements": ["deblur"]}
    api_response = api_instance.rest_api_process_result_post(process_payload)

Those two options can be specified together.

Let's check the results on that image:

{
    "enhancements": ["deblur", "denoise"]
}

Curl

curl --request POST \
     --url https://deep-image.ai/rest_api/process_result \
     --header 'content-type: application/json' \
     --header 'x-api-key: API_KEY' \
     --data '{
         "url": "https://deep-image.ai/api-example.png",
         "enhancements": ["deblur", "denoise"]
      }'

Python client

import os

import deep_image_ai_client

configuration = deep_image_ai_client.Configuration(
    host="https://deep-image.ai"
)

configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]

with deep_image_ai_client.ApiClient(configuration) as api_client:
    api_instance = deep_image_ai_client.DefaultApi(api_client)
    process_payload = {"url": "https://deep-image.ai/api-example.jpg", "enhancements": ["deblur", "denoise"]}
    api_response = api_instance.rest_api_process_result_post(process_payload)

Cleaning the image

Image can also be "cleaned" from artifacts and previously poorly upscaled image.

"enhancements": ["clean"]

Curl

curl --request POST \
     --url https://deep-image.ai/rest_api/process_result \
     --header 'content-type: application/json' \
     --header 'x-api-key: API_KEY' \
     --data '{
         "url": "https://deep-image.ai/api-example.png",
         "enhancements": ["clean"]
      }'

Python client

import os

import deep_image_ai_client

configuration = deep_image_ai_client.Configuration(
    host="https://deep-image.ai"
)

configuration.api_key['ApiKeyAuth'] = os.environ["API_KEY"]

with deep_image_ai_client.ApiClient(configuration) as api_client:
    api_instance = deep_image_ai_client.DefaultApi(api_client)
    process_payload = {"url": "https://deep-image.ai/api-example.jpg", "enhancements": ["clean"]}
    api_response = api_instance.rest_api_process_result_post(process_payload)

Resolution of the image remains the same but image should be in better quality.