Interval type-2 TSK fuzzy neural model for illuminant estimation
This paper presents a type-2 TSK fuzzy neural approach to establish a model for estimation of unknown illuminant, i.e., color temperature, of a digitally captured image based only on the contents of the image. The estimated temperature may be further utilized to perform white balance for the image. The results demonstrate major advancements of the proposed approach over previous and existing methods. The comparative study also suggests that the proposed method is more robust to generic images and varieties of illuminants and scenes than do existing approaches.