Image Dehazing Method Based on Dark Channel Prior and Histogram Equalization

In order to improve the dehazing effect of images, an improved dehazing method based on dark channel prior and histogram equalization combining with the wavelet fusion is proposed in this paper. The dehazing images are obtained utilizing the dark channel image dehazing algorithm and histogram equalization algorithm from the original images. The dehazing images are decomposed into low-frequency and high-frequency coefficients using a four layer wavelet transform, and different fusion criterion are used to fuse the low-frequency and high-frequency coefficients to obtain the final dehazing images. The experimental simulation shows that the proposed method can obtain high-quality dehazing images.