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MSCNN와 cGAN을 이용한 실내안개제거Indoor dehaze using MSCNN and cGAN
- Other Titles
- Indoor dehaze using MSCNN and cGAN
- Issue Date
- Nov-2018
- Publisher
- 대한전자공학회
- Citation
- 2018년 대한전자공학회 추계학술대회 논문집, pp 414 - 417
- Pages
- 4
- Indexed
- OTHER
- Journal Title
- 2018년 대한전자공학회 추계학술대회 논문집
- Start Page
- 414
- End Page
- 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.
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Collections - COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles
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