A Review of Image Denoising with Deep Learning

Yapici A., AKCAYOL M. A.

2nd International Informatics and Software Engineering Conference, IISEC 2021, Ankara, Türkiye, 16 - 17 Aralık 2021 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/iisec54230.2021.9672379
  • Basıldığı Şehir: Ankara
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: image denoising, image restoration, video denoising, deep learning-based noise reduction, SPARSE REPRESENTATION, FACE RECOGNITION, NOISE
  • Gazi Üniversitesi Adresli: Evet

Özet

© 2021 IEEE.Satellite images can be corrupted by noise during image capture, transfer or due to bad environmental conditions. In daily life and scientific searches, the need for more accurate images are increasing. However, images are distorted by noise, resulting in lower visual image quality. For this reason, noise removal studies are carried out on images to increase the quality. Until now, various methods have been proposed to decrease noise and each technique have different advantages. This paper, summarizes the studies in the field of noise reduction in video and images and compares the studies with each other.