The Retinex is a human perception-based image processing algorithm which provides color constancy and dynamic range compression. A real-time implementation of the Retinex is required to meet the needs of various potential users. The Retinex processing contains a relatively large number of complex computations, thus to achieve real-time performance using current technologies requires specialized hardware and software. As one of the solutions by approach from software, in this paper, we propose a serial Retinex algorithm for timesequential processing. In our algorithm, multi-scale surround images are integrated to a single surround field which is applied to Center/Surround SSR model. With progress of processing time, the appearance will be gradually improved and the processing region will be gradually spread out. By an experiment for still images and a simulation experiment for motion pictures, we verified the effectiveness of the proposed algorithm.
Takahiko Horiuchi, Hiroaki Kotera, Lijie Wang, "Serial Retinex Algorithm for Time-Sequential Processing" in Proc. IS&T CGIV 2006 3rd European Conf. on Colour in Graphics, Imaging, and Vision, 2006, pp 87 - 91, https://doi.org/10.2352/CGIV.2006.3.1.art00017