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| Presentation | 2018-06-14 14:50 Image Haze Reduction Method by Ambient Light Estimation Using Region Segmentation Yuji Araki, Koichi Ichige (Yokohama National Univ.)  CAS2018-10 VLD2018-13 SIP2018-30 MSS2018-10 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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 difficult, 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 difficult to process is mainly a white region and an sky region. If those regions are processed in the same way as other regions, bad effects are observed such as the image becomes darker or its color changes too much. In the proposed method, the regions which are difficult 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) |
| (in English) | Haze reduction / Dark channel / HSV color space / Region segmentation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 84, SIP2018-30, pp. 51-56, June 2018. | |
| Paper # | SIP2018-30 | |
| Date of Issue | 2018-06-07 (CAS, VLD, SIP, MSS) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | CAS2018-10 VLD2018-13 SIP2018-30 MSS2018-10 |
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| Conference Information | |
| Committee | CAS SIP MSS VLD |
| Conference Date | 2018-06-14 - 2018-06-15 |
| 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 |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2018-06-CAS-SIP-MSS-VLD |
| Language | Japanese |
| 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 |
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| 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.) |
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| Speaker | Author-1 |
| Date Time | 2018-06-14 14:50:00 |
| Presentation Time | 20 minutes |
| Registration for | SIP |
| Paper # | CAS2018-10, VLD2018-13, SIP2018-30, MSS2018-10 |
| Volume (vol) | vol.118 |
| Number (no) | no.82(CAS), no.83(VLD), no.84(SIP), no.85(MSS) |
| Page | pp.51-56 |
| #Pages | 6 |
| Date of Issue | 2018-06-07 (CAS, VLD, SIP, MSS) |
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