Locally Adaptive Contrast Enhancement Using a Modified 2D Smooth Histogram

  • Yeong Kang Lai
  • , Shu Ming Lee

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

Abstract

In this paper, we propose an locally adaptive contrast enhancement using a modified 2D smooth histogram method that allows an input image to expand the dynamic range and improve contrast and image detail information for Advanced Driver Assistance System (ADAS). We uses the relationship between each pixel's grayscale and its adjacent grayscale to construct a two-dimensional probability density of the input image grayscale distribute and masking operations are used to build the coefficient of determination. This coefficient is used to calculate the appropriate area window size for each pixel's neighborhood to reduce calculation time. A method for weighting the neighborhoods information and smooth two-dimensional histogram method are proposed. Experimental results show that the proposed method has well result and lower computational complexity.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Consumer Electronics, ICCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538679104
DOIs
StatePublished - 06 03 2019
Event2019 IEEE International Conference on Consumer Electronics, ICCE 2019 - Las Vegas, United States
Duration: 11 01 201913 01 2019

Publication series

Name2019 IEEE International Conference on Consumer Electronics, ICCE 2019

Conference

Conference2019 IEEE International Conference on Consumer Electronics, ICCE 2019
Country/TerritoryUnited States
CityLas Vegas
Period11/01/1913/01/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

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