Färgnormaliseringar

Färgnormaliseringar, also known as color normalization, is a process used in image processing and computer vision to adjust the color values of an image to a standard or consistent range. This is often necessary when images are captured under varying lighting conditions, with different camera settings, or from different sources. The goal is to minimize the impact of these variations on subsequent analysis or comparison of images.

Common reasons for applying färgnormalisering include improving the performance of color-based algorithms, enabling accurate color comparisons between different images, and enhancing the visual appearance of images for human viewers. For instance, if one image is taken under warm, yellowish light and another under cool, bluish light, their color appearances will differ significantly even if the actual colors of the objects within them are the same. Färgnormalisering aims to correct these discrepancies.

Several techniques exist for färgnormalisering. One simple method involves adjusting the white balance of an image, assuming a known neutral color reference. Other techniques might involve scaling color channels (e.g., red, green, blue) to a specific range or using statistical methods to match the color distributions of different images. More advanced methods might employ machine learning models to learn and apply complex color transformations. The choice of technique depends on the specific application and the nature of the color variations present.