Haze Removal on Image Using Dark Channel and Bright Channel Methods

Authors

  • Bhavani S Dept. of Computer Science, Rani Anna Government College for Women, Tirunelveli, India
  • Shenbagavalli R Dept. of Computer Science, Rani Anna Government College for Women, Tirunelveli, India

Keywords:

Image Dehazing, Dark Channel prior, Contrast Enhancement

Abstract

Haze is a main degradation of outdoor images, weakening both colors and contrasts due to atmospheric phenomena. Dehazed images mean sustaining low bitrates in the transmission pipeline. .In this paper to remove haze from a single input image combination of dark channel and bright channel method were used. In a dark channel method , the non-sky patches, at least one color channel has very low intensity at some pixels or, the minimum intensity in such a patch should has a very low value. A kind of statistics of outdoor haze-free images is a dark channel prior method. Then estimate the bright channel to control the amount of brightness enhancement and combine both dark channel and bright channel method to remove haze. The Noise estimation can be measured using MSE (Mean Square Error), RMSE (Root Mean Square Error), BER (Bit Error Rate), PSNR (Peak Signal-to-Noise Ratio) and MAE (Median Angular Error). Experimental result shows that the proposed method can provide the better restored result than the existing methods

References

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Published

2025-11-25

How to Cite

[1]
S. Bhavani and R. Shenbagavalli, “Haze Removal on Image Using Dark Channel and Bright Channel Methods”, Int. J. Comp. Sci. Eng., vol. 7, no. 8, pp. 26–31, Nov. 2025.

Issue

Vol. 7 No. 8 (2019): IJCSE Special Issue April Edition

Section

Research Article

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