Presentation 2018-06-14
Image Haze Reduction Method by Ambient Light Estimation Using Region Segmentation
Yuji Araki, Koichi Ichige,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose an accurate haze reduction method that divides hazed images into regions in advance, where haze reduction processing is di?cult, and applies it to the estimation of ambient light. The conventional method has a problem that the amount of haze is estimated larger than the actual amount in the regions where the distance between the photographic spot and subject is long, and causes that ambient light cannot be estimated accurately. The region which is di?cult to process is mainly a white region and an sky region. If those regions are processed in the same way as other regions, bad e?ects are observed such as the image becomes darker or its color changes too much. In the proposed method, the regions which are di?cult to estimate the amount of haze are divided into regions by extracting pixels similar to the feature pixels, and then ambient light is determined from the regions where haze reduction processing is easy. The proposed method can easily extract the appropriate color of haze for any given image.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Haze reduction / Dark channel / HSV color space / Region segmentation
Paper # CAS2018-10,VLD2018-13,SIP2018-30,MSS2018-10
Date of Issue 2018-06-07 (CAS, VLD, SIP, MSS)

Conference Information
Committee CAS / SIP / MSS / VLD
Conference Date 2018/6/14(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hokkaido Univ. (Frontier Research in Applied Sciences Build.)
Topics (in Japanese) (See Japanese page)
Topics (in English) System and Signal Processing, etc
Chair Hideaki Okazaki(Shonan Inst. of Tech.) / Shogo Muramatsu(Niigata Univ.) / Morikazu Nakamura(Univ. of Ryukyus) / Noriyuki Minegishi(Mitsubishi Electric)
Vice Chair Taizo Yamawaki(Hitachi) / Naoyuki Aikawa(TUS) / Kazunori Hayashi(Osaka City Univ) / Shigemasa Takai(Osaka Univ.) / Nozomu Togawa(Waseda Univ.)
Secretary Taizo Yamawaki(Shonan Inst. of Tech.) / Naoyuki Aikawa(Hitachi) / Kazunori Hayashi(Takushoku Univ.) / Shigemasa Takai(Hiroshima Univ.) / Nozomu Togawa(Toshiba)
Assistant Motoi Yamaguchi(Renesas Electronics) / / Hideki Kinjo(Okinawa Univ.)

Paper Information
Registration To Technical Committee on Circuits and Systems / Technical Committee on Signal Processing / Technical Committee on Mathematical Systems Science and its applications / Technical Committee on VLSI Design Technologies
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Image Haze Reduction Method by Ambient Light Estimation Using Region Segmentation
Sub Title (in English)
Keyword(1) Haze reduction
Keyword(2) Dark channel
Keyword(3) HSV color space
Keyword(4) Region segmentation
1st Author's Name Yuji Araki
1st Author's Affiliation Yokohama National Univercity(Yokohama National Univ.)
2nd Author's Name Koichi Ichige
2nd Author's Affiliation Yokohama National Univercity(Yokohama National Univ.)
Date 2018-06-14
Paper # CAS2018-10,VLD2018-13,SIP2018-30,MSS2018-10
Volume (vol) vol.118
Number (no) CAS-82,VLD-83,SIP-84,MSS-85
Page pp.pp.51-56(CAS), pp.51-56(VLD), pp.51-56(SIP), pp.51-56(MSS),
#Pages 6
Date of Issue 2018-06-07 (CAS, VLD, SIP, MSS)