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Node decomposes input image into color channels (RGB) and mask for precise adjustments in image processing.
The PIXEL SPLIT (JOV) π node is designed to take an input image and decompose it into its individual color channels: red, green, blue, and an additional mask channel. This functionality is particularly useful for AI artists and image processors who need to isolate and manipulate specific color components of an image for further analysis or creative effects. By separating the image into its constituent channels, you can apply targeted adjustments, filters, or transformations to each channel independently, thereby achieving more precise and controlled results in your image processing workflows.
This optional parameter accepts an image input that will be split into its individual color channels. If no image is provided, the node will generate a solid channel image. The parameter supports any image type and is essential for the node's operation as it defines the source image to be processed.
This output provides the red color channel of the input image. It contains the intensity values of the red component for each pixel, allowing you to manipulate or analyze the red channel separately.
This output provides the green color channel of the input image. It contains the intensity values of the green component for each pixel, enabling independent adjustments or analysis of the green channel.
This output provides the blue color channel of the input image. It contains the intensity values of the blue component for each pixel, facilitating separate manipulation or analysis of the blue channel.
This output provides a mask channel derived from the input image. The mask can be used for various purposes, such as isolating specific regions of the image for further processing or applying effects selectively.
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