Compute Color Correction

imageCollection

The image collection (mosaic dataset) name or URL. The image service must exist before calling the service to compute color correction.

Syntax: A JSON object supports three keys: itemId, url, and uri. These keys are case sensitive.

Example:

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{"itemId": “<portal item id>”}
{“url”: “<image service url>”}
{“uri”: “<cloud raster uri or shared data path>”}

colorCorrectionMethod

(Required)

The method used to compute color correction. The following are the color correction options:

• Dodging : Changes each pixel's value toward a target color. With this option, you must also choose the type of target color surface, which affects the target color. Dodging tends to give the best result in most cases.
• Histogram : Changes each pixel's value according to its relationship with a target histogram. The target histogram can be derived from all the rasters, or you can specify a single target raster. This option works well when all the rasters have a similar histogram.
• Standard_Deviation : Changes each pixel's value according to its relationship with the histogram of the target raster, within one standard deviation. The standard deviation can be calculated from all the rasters in the mosaic dataset, or you can specify a target raster. This option works best when all the rasters have normal distributions.

dodgingSurface

(Required)

When Dodging is used, each pixel needs a target color, which is determined by the surface type. The following are the available options:

• Single_Color : All the pixels are altered toward a single color point, the average of all pixels. Use this option when there are a small number of raster datasets and a few types of ground objects. If there are too many raster datasets or too many types of ground features, the output color may become blurred.
• Color_Grid : The pixels are altered toward multiple target colors, which are distributed across the mosaic dataset. Use this option when you have a large number of raster datasets, or areas with a large number of diverse ground objects.
• First_Order : All pixels are altered toward many points obtained from the two-dimensional polynomial slanted plane. This option tends to create a smooth color change and uses less storage in the auxiliary table, but it may take longer to process compared to the Color_Grid surface.
• Second_Order : All input pixels are altered toward a set of multiple points obtained from the two-dimensional polynomial parabolic surface. This option tends to create smoother color changes and uses less storage in the auxiliary table, but it may take longer to process compared to the Color_Grid surface.
• Third_Order : All input pixels are altered toward multiple points obtained from the cubic surface. This option tends to create smoother color changes and uses less storage in the auxiliary table, but it may take longer to process compared to the Color_Grid surface.

targetImage

(Optional)

Use this parameter as the target to color balance the images in the image collection.

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{"itemId": "<portal item id>"}
{"url": "<image service url>"}
{"uri": "<cloud raster uri or shared data path>"}

context

(Optional)

Contains additional settings that allow you to customize the statistics computation settings.

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{"skipRows": 10, "skipCols": 10, "reCalculateStats", "OVERWRITE"}

f

The response format. The default response format is html .

Values: html | json