ComfyUI Node: Equalize Histogram

Equalize Histogram:

The JDC_EqualizeGrey node is designed to enhance the visual quality of grayscale images by equalizing their histogram. This process redistributes the pixel intensity values of the image, making the histogram of the output image more uniform. The primary benefit of this node is to improve the contrast of the image, making details more visible and enhancing the overall visual appeal. This is particularly useful in scenarios where the image has poor lighting or low contrast, as it can bring out hidden details and make the image more visually striking.

Equalize Histogram Input Parameters:

IMAGE

The IMAGE parameter is the primary input for the JDC_EqualizeGrey node. It accepts an image in tensor format that you want to process. The function of this parameter is to provide the image data that will undergo histogram equalization. The impact of this parameter on the node's execution is direct, as the quality and characteristics of the input image will determine the effectiveness of the equalization process. There are no specific minimum, maximum, or default values for this parameter, as it simply requires a valid image tensor.

Equalize Histogram Output Parameters:

IMAGE

The IMAGE parameter is the output of the JDC_EqualizeGrey node. It returns the processed image in tensor format, where the histogram has been equalized. The function of this output is to provide the enhanced image with improved contrast and visibility of details. The importance of this output lies in its ability to transform low-contrast images into more visually appealing ones, making it easier to discern features and details that were previously obscured.

Equalize Histogram Usage Tips:

• To achieve the best results, use this node on images that suffer from poor contrast or uneven lighting, as the histogram equalization process will significantly enhance their visual quality.
• Combine the JDC_EqualizeGrey node with other post-processing nodes like AutoContrast or GaussianBlur to further refine the image and achieve the desired artistic effect.

Equalize Histogram Common Errors and Solutions:

Invalid image tensor format

• Explanation: The input image tensor is not in the correct format required by the node.
• Solution: Ensure that the input image is a valid tensor and follows the expected format. Convert the image to the appropriate tensor format if necessary.

Image processing failed

• Explanation: An error occurred during the histogram equalization process, possibly due to corrupted image data.
• Solution: Verify the integrity of the input image and ensure it is not corrupted. Try using a different image to see if the issue persists.