Presentation 2023-03-02
A Proposal of Night Vision Algorithm by Variable ε-filter and Multiscale Smoothing-based Image Enhancement
Mashiho Mukaida, Noriaki Suetake,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Images taken under low-light conditions such as at night or in a dark rooms are dark and their visibilities are very low. Recently, many low-light image enhancement algorithms (night vision algorithms) have been proposed. However, the conventional methods have some problems such as causing over enhancement in bright regions and/or noise amplification. In this report, we propose a new low-light image enhancement method without causing over enhancement and noise amplification. In the proposed method, the variable $varepsilon$-filter is applied to the input image. The dark and flat regions, where noise tends to be amplified, are smoothed. Then, the contrast of the image is enhanced by applying multiscale smoothing-based image enhancement. In the experiments, the proposed method is compared with the state-of-the-art methods through qualitative and quantitative evaluations. Experimental results show the effectiveness of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Image enhancement / Night vision algorithm / Variable ε-filter
Paper # SIS2022-47
Date of Issue 2023-02-23 (SIS)

Conference Information
Committee SIS
Conference Date 2023/3/2(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Chiba Institute of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tomoaki Kimura(Kanagawa Inst. of Tech.)
Vice Chair Naoto Sasaoka(Tottori Univ.) / Hakaru Tamukoh(Kyushu Inst. of Tech.)
Secretary Naoto Sasaoka(NTT) / Hakaru Tamukoh(Kansai Univ.)
Assistant Yoshiaki Makabe(Kanagawa Inst. of Tech.) / Yosuke Sugiura(Saitama Univ.)

Paper Information
Registration To Technical Committee on Smart Info-Media Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Proposal of Night Vision Algorithm by Variable ε-filter and Multiscale Smoothing-based Image Enhancement
Sub Title (in English)
Keyword(1) Image enhancement
Keyword(2) Night vision algorithm
Keyword(3) Variable ε-filter
1st Author's Name Mashiho Mukaida
1st Author's Affiliation Yamaguchi University(Yamaguchi Univ.)
2nd Author's Name Noriaki Suetake
2nd Author's Affiliation Yamaguchi University(Yamaguchi Univ.)
Date 2023-03-02
Paper # SIS2022-47
Volume (vol) vol.122
Number (no) SIS-410
Page pp.pp.37-42(SIS),
#Pages 6
Date of Issue 2023-02-23 (SIS)