MSCNN와 cGAN을 이용한 실내안개제거

Title
MSCNN와 cGAN을 이용한 실내안개제거
Other Titles
Indoor dehaze using MSCNN and cGAN
Author
문영식
Issue Date
2018-11
Publisher
대한전자공학회
Citation
2018년 대한전자공학회 추계학술대회, v. 41, No. 2, Page. 414~417
Abstract
We propose an indoor haze removal method using MSCNN and cGAN. The structure of the network consists of multi-scale CNN and cGAN for photo realistic result. Our method outputs the haze removal image immediately, unlike the existing methods of estimating the depth map. Our method has a quantitative evaluation of 22.6879 in PSNR and 0.8872 in SSIM, which is higher than state of the art by 1.342 in PSNR and 0.0116 in SSIM. It also has good results in qualitative evaluation.
URI
https://www.eiric.or.kr/literature/ser_view.php?SnxGubun=INKO&mode=total&totalSearch=literature&gu=INME013D9&cmd=qryview&SnxIndxNum=218725&rownum=&totalCnt=121&rownum=121&q1_t=7JaR7ZiE&listUrl=L3NlYXJjaC9yZXN1bHQucGhwP1NueEd1YnVuPUlOS08mbW9kZT10b3RhbCZ0b3RhbFNlYXJjaD1saXRlcmF0dXJlJnExPSVCRSVFNyVDNyVGNg==&q1=%BE%E7%C7%F6http://repository.hanyang.ac.kr/handle/20.500.11754/98938
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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