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Enhance image contrast using CLAHE technique for detailed and visually appealing results.
The ImageMagick Clahe node is designed to enhance the contrast of your images using the Contrast Limited Adaptive Histogram Equalization (CLAHE) technique. This method is particularly effective for improving the visibility of details in images with varying lighting conditions or low contrast. By redistributing the lightness values of the pixels, CLAHE enhances the local contrast, making features more distinguishable. This node is especially useful for AI artists looking to bring out finer details in their artwork or photographs, ensuring that the final output is visually appealing and rich in detail.
This parameter represents the input image that you want to process using the CLAHE technique. The image should be in a compatible format that the node can handle.
This parameter specifies the width of the image in pixels. It determines the horizontal dimension of the image to be processed. The value ranges from a minimum of 1 to a maximum of 1024, with a default value of 512.
This parameter specifies the height of the image in pixels. It determines the vertical dimension of the image to be processed. The value ranges from a minimum of 1 to a maximum of 1024, with a default value of 512.
This parameter defines the number of bins for the histogram used in the CLAHE process. It affects the granularity of the contrast enhancement. The value ranges from a minimum of 0.0 to a maximum of 1024, with a default value of 0.0, and can be adjusted in steps of 0.01.
This parameter sets the clip limit for contrast enhancement. It controls the threshold for contrast limiting, which helps in preventing over-amplification of noise. The value ranges from a minimum of 0.0 to a maximum of 1024, with a default value of 0.0, and can be adjusted in steps of 0.01.
The output parameter is the processed image with enhanced contrast. The CLAHE technique ensures that the local contrast is improved, making details more visible and the overall image more visually appealing.
number_bins
parameter to fine-tune the granularity of the contrast enhancement. Higher values can provide more detailed contrast adjustments.clip_limit
parameter to control the extent of contrast enhancement and prevent noise amplification. Start with a lower value and gradually increase it to find the optimal setting for your image.width
and height
parameters match the dimensions of your input image to avoid any distortion or resizing issues.width
and height
parameters to match the dimensions of your input image.number_bins
parameter is set to a value outside the allowed range.number_bins
value is within the range of 0.0 to 1024 and adjust it in steps of 0.01.clip_limit
parameter is set to a value outside the allowed range.clip_limit
value is within the range of 0.0 to 1024 and adjust it in steps of 0.01.© Copyright 2024 RunComfy. All Rights Reserved.