Image Augmentor

The Augmentor first applies a color quantization algorithm that reduces the number of distinct pixel colors in the image to 64. Histogram equalization is then applied, increasing contrast in the image, followed by a final adaptive denoising and color denoising algorithm that can be set depending on the amount of noise in the image.
The Augmentor is applicable to a variety of instances due to its ability to take custom denoising and color denoising factors depending on the noise of the image. The default denoising factor is 0 and the default color denoising factor is 10, with a recommended denoising value of around 50 for images with high noise like oil spills, and a recommended denoising value of 0 for images with high amounts of detail like cities.

Use cases include Vegetation Management, Urban Planning & Construction, Fire Risk Estimation, Land Use and Management, Forestry, Powerline inspection, Trainline inspection

Supported Workflows:

Data platform:

• Catalog -> Pléiades Display or SPOT 6/7 Display -> Order and get the asset from storage of UP42
• In Projects workflows, Processing from Storage -> DIMAP GeoTIFF conversion -> Image Augmentor

Data blocks:

• Sentinel-2 L2A Visual (GeoTIFF) -> Image Augmentor

Parameters

“denoising_factor” – default 0
description “Parameter regulating filter strength for luminance component. Bigger h value perfectly removes noise but also removes image details, smaller h value preserves details but also preserves some noise”

“colour_denoising_factor” – default 10 if denoising_factor different from 0, and 0 otherwise.
The same as h but for color components. For most images value equals 10 will be enought to remove colored noise and do not distort colors

Note: For block versions 2.0.5-public and higher, the output is in the CRS "EPSG:3857".

Example Input for Data blocks

{
   "oneatlas-pleiades-aoiclipped:1":{
      "ids":null,
      "bbox":[
         -1.039205,
         46.732618,
         -1.026172,
         46.743978
      ],
      "time":"2018-01-01T00:00:00+00:00/2020-12-31T23:59:59+00:00",
      "limit":2,
      "zoom_level":18,
      "time_series":null,
      "max_cloud_cover":50,
      "panchromatic_band":false
   },

    "tiling:1":{
      "nodata":null,
      "tile_width":512,
      "tile_height":512,
      "match_extents":false,
      "output_prefix":"",
      "augmentation_factor":1,
      "discard_empty_tiles":true
   },

    "augmentor:1":{
   }
}