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Python package to convert images from grayscale to false color and back

## Python package colorscale

This package was written to facilitate working with ‘false color’. Many scientific fields work with image files to visualize two-dimensional scalar data. The raw data can then be represented as a grayscale image. For different reasons, representing these data in false color can be useful. This package helps to convert grayscale images to ‘false color’. On the other hand, quite often it is desirable to have access to the original values of a false color plot. If the color scale (or ‘color map’) is known and it is bijective (a reversible one to one mapping), the original gray scale image can be recovered from the false color image using this tool, too.

## Installation

pip install colorscale

## Usage

After installing, two command line tools will be available:

• to_color_scale and

• to_gray_scale.

Start them with the --help flag to learn how to use them:

$to_color_scale --help usage: to_color_scale [-h] -s {tillscale} [-b {pil,cv2}] IMAGEFILE Convert an image saved as false color to grayscale positional arguments: IMAGEFILE The image to convert optional arguments: -h, --help show this help message and exit -s {tillscale}, --colorscale {tillscale} Desired color scale -b {pil,cv2}, --backend {pil,cv2} and $ to_gray_scale --help
usage: to_gray_scale [-h] -s COLORSCALE IMAGEFILE

Convert an image saved as false color to grayscale

positional arguments:
IMAGEFILE             The image to convert

optional arguments:
-h, --help            show this help message and exit
-s COLORSCALE, --colorscale COLORSCALE {tillscale}
Desired color scale

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### Source Distribution

colorscale-0.8.2.tar.gz (5.0 kB view hashes)

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