@inproceedings{bf8fdf82fb8d4be5a8b8de997d297342,
title = "Adaptive Noise Injection for Quality Improvement of Blurry Images",
abstract = "In image processing, noise are often regarded as non-ideal pixel changes. However, these changes may have a positive effect on the blurred images. By adding suitable amount of noise to the right positions, the image quality can be improved. This study makes an investigation of this phenomenon and conducts experiments on the corresponding datasets. Though noise may have a negative impact on the images with good quality, as to the images deteriorated by Gaussian blurriness distortion, noise can improve their subjective image quality.",
keywords = "Blurriness, Image quality improvement, Noise injection",
author = "Yiming Yang and Guangtao Zhai and Menghan Hu and Wei Jiang",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 17th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2020 ; Conference date: 02-12-2020 Through 02-12-2020",
year = "2021",
doi = "10.1007/978-981-16-1194-0\_9",
language = "英语",
isbn = "9789811611933",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "96--106",
editor = "Guangtao Zhai and Jun Zhou and Hua Yang and Ping An and Xiaokang Yang",
booktitle = "Digital TV and Wireless Multimedia Communication - 17th International Forum, IFTC 2020, Revised Selected Papers",
address = "德国",
}