Implementation of a Single-Image Haze Removal Using the FPGA
Ju Yeol Kim, Jae Wook Jeon · 2018
A comparison of the numbers of cloudy days and clear days shows a recent increase of the former because of fine or yellow dust. Although imaging systems are used in various fields, the image-quality degradation that is due to fog is an outstanding problem. In this paper, a hardware method for the removal of the haze from a single input image using the dark channel prior and the FPGA is proposed; furthermore, a high-quality depth map can be used for fog removal. The problem of the existing haze-removal algorithms is the recognition of the high RGB values as haze, resulting in a loss of the high RGB values. The use of the average atmospheric values, however, implements a high-level transmission map that prevents the loss of the high RGB values (recognized as haze) during the haze removal. In addition, an 8 x 5 matrix is created to improve the speed of the dark-channel calculation, resulting in a speed of more than 500 fps.