Eqlm

Simple CLI tool to spatially equalize image luminance

Example

Install

pip3 install eqlm

Usage

The main program can be invoked either through the eqlm command or through the Python main module option python3 -m eqlm.

usage: eqlm [-h] [-v] [-m {luminance,brightness,saturation,lightness}]
            [-n M N] [-t RATE] [-c] [-e] [-u] [-g [GAMMA]] [-d {8,16}]
            IN_FILE [OUT_FILE]

Options

positional arguments:
  IN_FILE               input image file path (use '-' for stdin)
  OUT_FILE              output PNG image file path (use '-' for stdout)
                        (default: Auto)

options:
  -h, --help            show this help message and exit
  -v, --version         show program's version number and exit
  -m {luminance,brightness,saturation,lightness}, --mode {luminance,brightness,saturation,lightness}
                        processing mode (default: luminance)
  -n M N, --divide M N  divide image into MxN blocks for aggregation
                        (note that it doesn't respect Exif orientation) (default: (2, 2))
  -t RATE, --target RATE
                        output level target rate, 0.0 (min) to 1.0 (max) (default: Average)
  -e, --median          aggregate each block using median (default: False)
  -u, --unweighted      disable alpha channel weighting (default: False)
  -g [GAMMA], --gamma [GAMMA]
                        apply inverse gamma correction before process [GAMMA=2.2] (default: None)
  -d {8,16}, --depth {8,16}
                        bit depth of the output PNG image (default: 8)

License

GNU Affero General Public License v3.0