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Combined local and global image enhancement algorithm

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Combined local and global image enhancement algorithm. / Voronin, V.; Semenishchev, E.; Ponomarenko, M.; Agaian, S.

Electronic Imaging: Image Processing: Algorithms and Systems XVI. Society for Imaging Science and Technology, 2018.

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

Harvard

Voronin, V, Semenishchev, E, Ponomarenko, M & Agaian, S 2018, Combined local and global image enhancement algorithm. in Electronic Imaging: Image Processing: Algorithms and Systems XVI. Society for Imaging Science and Technology, IS&T International Symposium on Electronic Imaging, 28/01/18. https://doi.org/10.2352/ISSN.2470-1173.2018.13.IPAS-220

APA

Voronin, V., Semenishchev, E., Ponomarenko, M., & Agaian, S. (2018). Combined local and global image enhancement algorithm. In Electronic Imaging: Image Processing: Algorithms and Systems XVI Society for Imaging Science and Technology. https://doi.org/10.2352/ISSN.2470-1173.2018.13.IPAS-220

Vancouver

Voronin V, Semenishchev E, Ponomarenko M, Agaian S. Combined local and global image enhancement algorithm. In Electronic Imaging: Image Processing: Algorithms and Systems XVI. Society for Imaging Science and Technology. 2018 https://doi.org/10.2352/ISSN.2470-1173.2018.13.IPAS-220

Author

Voronin, V. ; Semenishchev, E. ; Ponomarenko, M. ; Agaian, S. / Combined local and global image enhancement algorithm. Electronic Imaging: Image Processing: Algorithms and Systems XVI. Society for Imaging Science and Technology, 2018.

Bibtex - Download

@inproceedings{f203f881d519462f8fa0efef903d792f,
title = "Combined local and global image enhancement algorithm",
abstract = "We present a new image enhancement algorithm based on combined local and global image processing. The basic idea is to apply α-rooting image enhancement approach for different image blocks. For this purpose, we split image in moving windows on disjoint blocks with different size (8 by 8, 16 by 16, 32 by 32 and, i.e.). The parameter alfa for every block driven through optimization of measure of enhancement (EME). The resulting image is a weighted mean of all processing blocks. This strategy for image enhancement allows getting more contrast image with the following properties: irregular lighting and brightness gradient. Some experimental results are presented to illustrate the performance of the proposed algorithm.",
author = "V. Voronin and E. Semenishchev and M. Ponomarenko and S. Agaian",
note = "jufoid=84313",
year = "2018",
doi = "10.2352/ISSN.2470-1173.2018.13.IPAS-220",
language = "English",
publisher = "Society for Imaging Science and Technology",
booktitle = "Electronic Imaging",
address = "United States",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Combined local and global image enhancement algorithm

AU - Voronin, V.

AU - Semenishchev, E.

AU - Ponomarenko, M.

AU - Agaian, S.

N1 - jufoid=84313

PY - 2018

Y1 - 2018

N2 - We present a new image enhancement algorithm based on combined local and global image processing. The basic idea is to apply α-rooting image enhancement approach for different image blocks. For this purpose, we split image in moving windows on disjoint blocks with different size (8 by 8, 16 by 16, 32 by 32 and, i.e.). The parameter alfa for every block driven through optimization of measure of enhancement (EME). The resulting image is a weighted mean of all processing blocks. This strategy for image enhancement allows getting more contrast image with the following properties: irregular lighting and brightness gradient. Some experimental results are presented to illustrate the performance of the proposed algorithm.

AB - We present a new image enhancement algorithm based on combined local and global image processing. The basic idea is to apply α-rooting image enhancement approach for different image blocks. For this purpose, we split image in moving windows on disjoint blocks with different size (8 by 8, 16 by 16, 32 by 32 and, i.e.). The parameter alfa for every block driven through optimization of measure of enhancement (EME). The resulting image is a weighted mean of all processing blocks. This strategy for image enhancement allows getting more contrast image with the following properties: irregular lighting and brightness gradient. Some experimental results are presented to illustrate the performance of the proposed algorithm.

U2 - 10.2352/ISSN.2470-1173.2018.13.IPAS-220

DO - 10.2352/ISSN.2470-1173.2018.13.IPAS-220

M3 - Conference contribution

BT - Electronic Imaging

PB - Society for Imaging Science and Technology

ER -