Robust contrast enhancement of noisy low-light images: Denoising-enhancement-completion

Jaemoon Lim, Jin Hwan Kim, Jae Young Sim, Chang-Su Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

A robust contrast enhancement algorithm for noisy low-light images, called the denoising-enhancement-completion (DEC), is proposed in this work. We observe that noise components in low-light images degrade the performance of the contrast enhancement. Therefore, we first reduce noise components in an input image. Then, we compute the reliability weight for each pixel, by measuring the difference between the input image and the denoised image, and categorize each pixel into one of two classes: noise-free or noisy. We perform the selective histogram equalization to enhance the contrast of the noise-free pixels only. Finally, we restore missing values of the noisy pixels using the enhanced noise-free pixel values, by employing a low-rank matrix completion scheme. Experimental results show that the proposed DEC algorithm removes noise and enhances the contrast of low-light images more effectively than conventional algorithms.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Processing, ICIP
PublisherIEEE Computer Society
Pages4131-4135
Number of pages5
Volume2015-December
ISBN (Print)9781479983391
DOIs
Publication statusPublished - 2015 Dec 9
EventIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
Duration: 2015 Sep 272015 Sep 30

Other

OtherIEEE International Conference on Image Processing, ICIP 2015
CountryCanada
CityQuebec City
Period15/9/2715/9/30

Keywords

  • contrast enhancement
  • Low-light image enhancement
  • matrix completion
  • noise reduction

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Lim, J., Kim, J. H., Sim, J. Y., & Kim, C-S. (2015). Robust contrast enhancement of noisy low-light images: Denoising-enhancement-completion. In Proceedings - International Conference on Image Processing, ICIP (Vol. 2015-December, pp. 4131-4135). [7351583] IEEE Computer Society. https://doi.org/10.1109/ICIP.2015.7351583