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author:

Zhu, Mingzhu (Zhu, Mingzhu.) [1] (Scholars:朱明珠) | He, Bingwei (He, Bingwei.) [2] (Scholars:何炳蔚) | Liu, Jiantao (Liu, Jiantao.) [3] | Zhang, Liwei (Zhang, Liwei.) [4] (Scholars:张立伟)

Indexed by:

EI Scopus SCIE

Abstract:

Dark channel prior is a highly valued theory mostly used in the area of haze removal. It reveals the wide existence of pixels with very small channel. However, the definition is in a decorated way that relies on the concept of dark channel. The dark channel works like an image domain wherein non-sky regions of clear outdoor images are close to zero. In this letter we show that, such a concept is unnecessary and misleading, and can be improved by using a more basic concept named dark pixel. A novel transmission estimation method based on finding dark pixels is proposed. The method is concise and easy to understand. In comparisons with state-of-the-art methods, our method shows significant improvements on both transmission estimation and haze removal results.

Keyword:

dark channel dark pixel Image dehazing

Community:

  • [ 1 ] [Zhu, Mingzhu]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350000, Fujian, Peoples R China
  • [ 2 ] [He, Bingwei]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350000, Fujian, Peoples R China
  • [ 3 ] [Liu, Jiantao]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350000, Fujian, Peoples R China
  • [ 4 ] [Zhang, Liwei]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350000, Fujian, Peoples R China

Reprint 's Address:

  • 何炳蔚

    [He, Bingwei]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350000, Fujian, Peoples R China

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Source :

IEEE SIGNAL PROCESSING LETTERS

ISSN: 1070-9908

Year: 2019

Issue: 7

Volume: 26

Page: 981-985

3 . 1 0 5

JCR@2019

3 . 2 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:150

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 12

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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