Algorithm for Color Balancing an Image

1. How do you color balance a picture?
2. What is the formula for color balance?
3. What is color balancing in image processing?
4. What is white balance algorithm?

How do you color balance a picture?

To balance an image, you simply adjust the intensities of the cyan, magenta, and yellow tones. The end goal of color balance is usually to achieve realistic and accurate colors. In many cases, photographers and image editors use color balance adjustments to remove a color cast — a tint that affects the entire photo.

What is the formula for color balance?

The goal of IRGB intensity balance is to correct the intensity of a color image without modifying the R/G/B ratio of the pixels. We first compute the gray level intensity (I = (R + G + B)/3), then this intensity is balanced and transformed into I by the affine transformation with saturation.

What is color balancing in image processing?

In photography and image processing, color balance is the global adjustment of the intensities of the colors (typically red, green, and blue primary colors). An important goal of this adjustment is to render specific colors – particularly neutral colors like white or grey – correctly.

What is white balance algorithm?

Automatic white balance (AWB) algorithms try to correct for the ambient light with minimum input from the user, so that the resulting image looks like what our eyes would see. Automatic white balancing is done in two steps: Step 1: Estimate the scene illuminant. Step 2: Correct the color balance of the image.