Hardware implementation of a fast and efficient haze removal method

Yeu Horng Shiau, Hung Yu Yang, Pei-Yin Chen, Ya Zhu Chuang

Research output: Contribution to journalArticlepeer-review

58 Citations (Scopus)

Abstract

In this letter, a fast and efficient haze removal method is presented. We employ an extremum approximate method to extract the atmospheric light and propose a contour preserving estimation to obtain the transmission by using edge-preserving and mean filters alternately. Our method can efficiently avoid the halo artifact generated in the recovered image. To meet the requirement of real-time applications, an 11-stage pipelined hardware architecture for our haze removal method is presented. It can achieve 200 MHz with 12.8 K gate counts by using TSMC 0.13-μm technology. Simulation results indicate that our design can obtain comparable results with the least execution time compared to previous algorithms and is suitable for low-cost high-performance hardware implementation for haze removal.

Original languageEnglish
Article number6423269
Pages (from-to)1369-1374
Number of pages6
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume23
Issue number8
DOIs
Publication statusPublished - 2013 Aug 19

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

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