LOGARITHMIC_ADJUSTMENT

Adjusts the logarithmic exposure of an input image and outputs the adjusted image Params: default : Image The input image gain : float, default=1 The gain of the logarithmic correction. inv : bool, default=False Perform inverse logarithmic correction. Returns: out : Image The adjusted image.

Python Code

import numpy as np
from flojoy import Image, flojoy
from skimage.exposure import adjust_log


@flojoy(deps={"scikit-image": "0.21.0"})
def LOGARITHMIC_ADJUSTMENT(
    default: Image,
    gain: float = 1,
    inv: bool = False,
) -> Image:
    """
    Adjusts the logarithmic exposure of an input image and outputs the adjusted image

    Parameters
    ----------
    default: Image
        The input image
    gain: float, default=1
        The gain of the logarithmic correction.
    inv: bool, default=False
        Perform inverse logarithmic correction.

    Returns
    -------
    Image
        The adjusted image.
    """

    r = default.r
    g = default.g
    b = default.b
    a = default.a

    if a is not None:
        rgba_image = np.stack((r, g, b, a), axis=2)
    else:
        rgba_image = np.stack((r, g, b), axis=2)

    # Check if the image is in the appropriate format
    if rgba_image.dtype != np.uint8:
        raise ValueError("Image must be in uint8 format")

    # Apply logarithmic correction
    corrected_image = adjust_log(rgba_image, gain=gain, inv=inv)

    r = corrected_image[:, :, 0]
    g = corrected_image[:, :, 1]
    b = corrected_image[:, :, 2]
    if a is not None:
        a = corrected_image[:, :, 3]

    return Image(r=r, g=g, b=b, a=a)

Find this Flojoy Block on GitHub

Example

Having problems with this example app? Join our Discord community and we will help you out!

Press enter or space to select a node.You can then use the arrow keys to move the node around. Press delete to remove it and escape to cancel.

Press enter or space to select an edge. You can then press delete to remove it or escape to cancel.

Download this Flojoy App

In this example, contrast adjustments were performed on an example image.

First the necessary blocks were added: SKIMAGE to fetch the example image, 3 IMAGE blocks to view the images, LOGARITHMIC_ADJUSTMENT, AND GAMMA_ADJUSTMENT.

The gamma parameter for GAMMA_ADJUSTMENT was set to 1.5, and the SKLEARN image was set to moon. The remaining parameters were left at default values.

The blocks were connected as shown and the app was run.