영상 잡음 제거에서의 디테일 향상을 위한 심층 신경망Deep Network for Detail Enhancement in Image Denoising
- Other Titles
- Deep Network for Detail Enhancement in Image Denoising
- Authors
- 김성준; 정용주
- Issue Date
- 2019
- Publisher
- 한국멀티미디어학회
- Keywords
- Image Denoising; Deep Learning; Detail Enhancement
- Citation
- 멀티미디어학회논문지, v.22, no.6, pp.646 - 654
- Journal Title
- 멀티미디어학회논문지
- Volume
- 22
- Number
- 6
- Start Page
- 646
- End Page
- 654
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/2405
- ISSN
- 1229-7771
- Abstract
- Image denoising is considered as a key factor for capturing high-quality photos in digital cameras. Thus far, several image denoising methods have been proposed in the past decade. In addition, previous studies either relied on deep learning-based approaches or used the hand-crafted filters. Unfortunately, the previous method mostly emphasized on image denoising regardless of preserving or recovering the detail information in result images. This study proposes an detail extraction network to estimate detail information from a noisy input image. Moreover, the extracted detail information is utilized to enhance the final denoised image. Experimental results demonstrate that the proposed method can outperform the existing works by a subjective measurement.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - IT융합대학 > 소프트웨어학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/2405)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.