Fast image dehazing based on multi-scale guided filtering

Thuong Van Nguyen, An Gia Vien, Chul Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose a fast image dehazing algorithm based on multi-scale guided filtering. We first construct an image pyramid from a hazy input image. Then, based on the observation that the most time-consuming procedure is the estimation of the transmission map and atmospheric light, we estimate them only at the coarsest level. Then, we obtain the transmission map at the finest level by upsampling and guided image filtering. Experimental results show that the proposed algorithm is capable of real-time operation, while providing comparable or even better performance than the state-of-the-art algorithms.

Original languageEnglish
Title of host publicationInternational Workshop on Advanced Image Technology, IWAIT 2019
EditorsWen-Nung Lie, Yung-Lyul Lee, Phooi Yee Lau, Sanun Srisuk, Qian Kemao, Kazuya Hayase, Lu Yu
PublisherSPIE
ISBN (Electronic)9781510627734
DOIs
StatePublished - 2019
EventInternational Workshop on Advanced Image Technology 2019, IWAIT 2019 - Singapore, Singapore
Duration: 6 Jan 20199 Jan 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11049
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInternational Workshop on Advanced Image Technology 2019, IWAIT 2019
Country/TerritorySingapore
CitySingapore
Period6/01/199/01/19

Keywords

  • Image dehazing
  • image enhancement
  • image restoration

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