A review on dark channel prior based image dehazing algorithms

EURASIP Journal on Image and Video Processing

Table 1 Comparison of DCP-based dehazing algorithms

Step	Method		Reference
Dark channel construction	Min filter (Eq. (4))		[10–22, 24]
Dark channel construction	Median filter (Eq. (12))		[23]
Atmospheric light estimation	Candidate	DCP top 0.1 %	[10–15, 17, 18, 21, 23]
		DCP top 0.2 %	[16]
		DCP maximum	[19, 20, 22]
		DCP top 5 % and edge	[24]
	Selection criterion	Intensity	[10–20, 22–24]
	Selection criterion	Entropy	[21]
Transmission map construction	Eq. (17)		[10–13, 15–20, 22–24]
	Eq. (18)		[14]
	(i)		[21]
Transmission map refinement	Gaussian filter		[17–19]
	Bilateral filter		[11, 14, 24]
	Soft matting		[10, 11]
	Cross-bilateral filter		[16, 20]
	Guided filter		[13, 18, 22]

(i) \( t(x)=1-w\left( \log \left(\underset{c\in \left\{r,g,b\right\}}{ \min}\frac{I^c(x)}{A^c}\right)\right. \)