Multi-Scale Retinex with Color Restoration

Multi-Scale Retinex with Color Restoration is an image enhancement algorithm that aims to improve the visual quality of images by improving their brightness, contrast, and color. This algorithm is based on the Retinex theory, which suggests that the human visual system processes images by separating them into three components: the reflectance component, the illumination component, and the shadow component.

The Multi-Scale Retinex with Color Restoration algorithm works by first decomposing the input image into multiple scales using a Gaussian pyramid. At each scale, the algorithm applies a Retinex transform to the image to separate the reflectance component from the illumination and shadow components. The reflectance component is then adjusted to correct for any non-uniformities in the illumination, and the color of the image is restored using a color correction algorithm.

The output image is then reconstructed by combining the adjusted reflectance component with the illumination and shadow components at each scale. The final result is an image with improved brightness, contrast, and color that appears more natural and pleasing to the human eye.

This algorithm is widely used in image processing applications such as digital photography, medical imaging, and remote sensing. It is particularly useful for enhancing images that suffer from poor lighting conditions, low contrast, or color distortion.