An Dehazing Algorithm of Lossy Compression Video Image

摘要

Using dark channel prior to estimate the thickness of the haze, recent research work has made significant progresses in single image dehazing. However, it is difficult to apply existing method for processing high resolution input images because of the heavy computation cost s of it. For some kinds of input images, existing method still can not reach enough accuracy. We develop a powerful and practical single image dehazing method. The experimental results show our gradient prior of transmission maps greatly reduces the computation cost s of the previous method. Furthermore, the optimization methods and parameter adjustment for our novel image prior enhance the accuracy of the computation related with transmission map. Overall, compared with the state of the art, our new single image dehazing method achieves the same, and even better image quality with only around 1/8 computation time and memory cost.