TY - GEN
T1 - Content-Adaptive Image Compressed Sensing Using Deep Learning
AU - Zhong, Liqun
AU - Wan, Shuai
AU - Xie, Leyi
AU - Zhang, Shun
N1 - Publisher Copyright:
© 2018 APSIPA organization.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - This paper proposes a framework of content-adaptive image compressed sensing using deep learning, which analyzes the image content and adaptively allocates samples for different image patches accordingly. Experimental results demonstrate that the proposed framework outperforms the state-of-the-arts both in subjective and objective quality, especially at low sampling rates. For example, when the sampling rate is 0.1, 1-6 dB improvement in peak signal to noise ratio (PSNR) is observed. Moreover, the proposed work reconstructs images with more details and less image blocking effects, leading to apparent visual improvement.
AB - This paper proposes a framework of content-adaptive image compressed sensing using deep learning, which analyzes the image content and adaptively allocates samples for different image patches accordingly. Experimental results demonstrate that the proposed framework outperforms the state-of-the-arts both in subjective and objective quality, especially at low sampling rates. For example, when the sampling rate is 0.1, 1-6 dB improvement in peak signal to noise ratio (PSNR) is observed. Moreover, the proposed work reconstructs images with more details and less image blocking effects, leading to apparent visual improvement.
UR - http://www.scopus.com/inward/record.url?scp=85063532002&partnerID=8YFLogxK
U2 - 10.23919/APSIPA.2018.8659768
DO - 10.23919/APSIPA.2018.8659768
M3 - 会议稿件
AN - SCOPUS:85063532002
T3 - 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
SP - 57
EP - 61
BT - 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
Y2 - 12 November 2018 through 15 November 2018
ER -