CNN based color constancy algorithm

Abstract

Color constancy (CC) is a perceptional phenomena in which living species, capable of color vision, perceive object color apart from the spectral distribution of light applied to illuminate the objects. The algorithm that can recover objects' original color and display them as if they were illuminated by spectrally even (white) light is called the CC algorithm. In contrast to other solutions our approach offers on-line possibilities in applications as its operation needs consist of mainly local interactions that are well suited to the architecture of cellular neural/non-linear networks (CNN). In a recent paper, we offered a brief survey of common CC approaches, introduced the principles of our CC algorithm, compared ACE4K on-chip results versus simulation, examined the robustness of our algorithm and outlined a newly developed setup for reliable color image recording.