Odette's transformation

Odette's transformation is a mathematical method used in image processing and computer vision to normalize illumination or lighting variations across images. It works by adjusting pixel intensities to reduce the effects of different lighting conditions, making images more consistent. This helps in tasks like image recognition or analysis, where consistent lighting increases accuracy. Essentially, Odette's transformation enhances the visibility of details by compensating for uneven brightness, allowing for more reliable comparison and interpretation of visual data across various images.