Adaptive correction of nonuniform illumination of multispectral digital images

The majority of known methods for correction of multispectral images distorted by nonuniform illumination use the following distortion model: a certain part of the scene close to a directed light source is illuminated much brighter than the rest of the scene. However, another serious problem often arises in practice in the case of nonuniform illumination of 3D objects of the scene: extended heavily shadowed regions with a small area of transition from light to shadow are formed. In this study, a method for the locally adaptive correction of nonuniform illumination of multispectral digital images, which is based on an algorithm that imitates human visual perception, is proposed. The performance of the proposed method is compared to that of available algorithms for correction of color images distorted by both nonuniform illumination and the presence of shadow regions.

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