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Adjust image color properties using YUV color space for precise brightness and color control.
The LayerColor: YUV node is designed to adjust the color properties of an image using the YUV color space, which separates the image into luminance (Y) and chrominance (U and V) components. This node allows you to fine-tune the brightness and color balance of your images by modifying these components individually. The YUV color space is particularly useful for tasks that require precise control over brightness and color, as it separates these aspects more distinctly than the RGB color space. By adjusting the Y, U, and V values, you can achieve a wide range of visual effects, from subtle color corrections to dramatic changes in the image's appearance.
This parameter accepts the input image that you want to process. The image should be in a format compatible with the node, typically a tensor representation of the image.
This parameter controls the luminance (brightness) of the image. Adjusting the Y value will make the image brighter or darker. The value ranges from -255 to 255, with a default value of 0. Increasing the Y value will brighten the image, while decreasing it will darken the image.
This parameter adjusts the U component of the chrominance, which affects the blue-yellow color balance of the image. The value ranges from -255 to 255, with a default value of 0. Increasing the U value will add more blue to the image, while decreasing it will add more yellow.
This parameter adjusts the V component of the chrominance, which affects the red-green color balance of the image. The value ranges from -255 to 255, with a default value of 0. Increasing the V value will add more red to the image, while decreasing it will add more green.
The output is the processed image with the applied YUV adjustments. This image will reflect the changes made to the luminance and chrominance components based on the input parameters. The output is typically in the same format as the input image, ensuring compatibility with subsequent nodes or processes.
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