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Facilitates image recoloring with mask-based precision for artists and designers.
The tri3d-recolor-mask
node is designed to facilitate the recoloring of images by leveraging mask-based operations. This node is particularly useful for artists and designers who wish to apply color transformations to specific regions of an image while preserving the original color balance and texture in other areas. By using masks, the node allows for precise control over which parts of the image are affected by the recoloring process. The recoloring is achieved by adjusting the mean and standard deviation of the color channels within the masked areas, ensuring that the new colors blend seamlessly with the existing image. This method is beneficial for tasks such as color correction, artistic effects, and enhancing visual consistency across different image elements.
This parameter represents the original image that you want to recolor. It serves as the base image upon which the recoloring operations will be applied. The image should be in a format that supports color channels, such as RGB.
The mask input is a crucial parameter that defines the areas of the image to be recolored. It is a binary mask where the regions with a value greater than 127 are considered for recoloring. This allows for selective application of color changes, ensuring that only the desired parts of the image are affected.
This parameter influences the mean color value used in the recoloring process. By adjusting the factor_mean, you can control the overall brightness and color tone of the recolored areas. The default value is typically set to maintain the original mean, but it can be adjusted to achieve different artistic effects.
Factor_sigma determines the standard deviation of the color distribution in the recolored areas. It affects the contrast and saturation of the colors applied. A higher value can lead to more vibrant and contrasting colors, while a lower value may result in softer and more muted tones.
The output of the node is the recolored image, which retains the original image's structure but with the specified areas recolored according to the input parameters. This output is crucial for visualizing the effects of the recoloring process and can be used for further editing or as a final product.
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