Real-time Retinex Image Enhancement Based On Local Bilateral Filtering

Image information is closely related to the development of human society, which plays a more and more important role in human’s life. However, in the process of acquiring the image information, the image quality is often influenced by many uncertain factors that led to the uncompleted image information. So, the image quality is improved by the technology of image enhancement processing, and the image information becoming complete and clear, which has a very important practical application value in the human life and production.The basic idea of traditional image enhancement algorithms is to start from the space domain and frequency domain, giving process to the image grayscale space or frequency domain information. However, in the various bad weather conditions and some particular image processing requirements, the traditional image processing methods based on human-computer interaction cannot reach the desired effect sometimes. Retinex theory, based on color constancy, is an imitation of the human visual system. The original image of light components is estimated and then processed in order to improve the image quality and recover the image information.Aiming at the shortcoming of the traditional Retinex algorithm, this paper uses bilateral filtering to partially eliminate the noise in the image, preserving the edge without being fuzzily damaged, and then takes the real-time Retinex algorithm, not only excluding the noise, but also ensuring the efficiency of image processing at the same time. Finally, through the experiment, the traditional Retinex image enhancement methods are analyzed and compared with other filters. The experimental results prove that this new Retinex enhancement algorithm can not only improve the quality of the image, but also get a better balance in the removal of halo, the noise elimination and the short processing time.