We propose a fast image dehazing (FID) algorithm from a reverse perspective. Instead of estimating more accurate transmission or atmospheric light, our work focuses on the residual scene radiance adjustment, which can improve the quality of the dehazed results and address dim effects. First, we formulate an over-dehazed scene and the respective residual scene by pixel-wise dark channel prior. Second, the transmission map is smoothed by a threshold L₁-TV filter, and the over-dehazed result is recovered. Third, the residual scene is adjusted using local color information and Retinex in the brightness domain. Finally, the dehazed scene radiance is created by fusing the over-dehazed result and the adjusted residual scene. FID does not require any training process or complex transmission and atmospheric light estimation, making this algorithm very fast and robust. Experimental results demonstrate that the proposed FID outperforms state-of-the-art dehazing algorithms regarding efficiency and dehazing effect.