Single Image Dehazing Algorithm Based on Dark Channel Prior and Inverse Image

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ZHOU X.; BAI L.; WANG C.

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENGINEERING Year:2017 | Volume:30 | Issue:10 (TRANSACTIONS A: Basics) Page(s): 1471-1478

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Information Journal Paper

Title

Single Image Dehazing Algorithm Based on Dark Channel Prior and Inverse Image

Author(s)

ZHOU X. | BAI L. | WANG C. | Issue Writer Certificate

Keywords

Image Dehazing

Haze Removal

Dark Channel Prior

Inverse Image

Abstract

The sky regions of foggy image processed by all the existing conventional dehazing methods are degraded by color distortion and severe noise. This paper proposes an improved algorithm which combines Dark Channel Prior and Inverse Image. We first invert the foggy image, and then estimate the transmission of the Inverse Image. At last, compared with the non-inversed transmission, the larger values of the transmission are the final transmission. This algorithm tends to refine the medium transmission by adjusting the values of pixels in the bright region to meet the hypothesis of Dark Channel Prior. The method is viable to eliminate color distortion of the dehazed image.

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APA: Copy

ZHOU, X., BAI, L., & WANG, C.. (2017). Single Image Dehazing Algorithm Based on Dark Channel Prior and Inverse Image. INTERNATIONAL JOURNAL OF ENGINEERING, 30(10 (TRANSACTIONS A: Basics)), 1471-1478. SID. https://sid.ir/paper/724366/en

Vancouver: Copy

ZHOU X., BAI L., WANG C.. Single Image Dehazing Algorithm Based on Dark Channel Prior and Inverse Image. INTERNATIONAL JOURNAL OF ENGINEERING[Internet]. 2017;30(10 (TRANSACTIONS A: Basics)):1471-1478. Available from: https://sid.ir/paper/724366/en

IEEE: Copy

X. ZHOU, L. BAI, and C. WANG, “Single Image Dehazing Algorithm Based on Dark Channel Prior and Inverse Image,” INTERNATIONAL JOURNAL OF ENGINEERING, vol. 30, no. 10 (TRANSACTIONS A: Basics), pp. 1471–1478, 2017, [Online]. Available: https://sid.ir/paper/724366/en

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