会议论文

Zhou, Cui

英文

2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC)

2018

360-363

3rd IEEE International Conference on Image, Vision and Computing (ICIVC)

JUN 27-29, 2018

Chongqing, PEOPLES R CHINA

[Zhou, Cui] Cent South Univ Forestry & Technol, Key Lab Digital Dongting Lake Basin Hunan Prov, Changsha 410004, Hunan, Peoples R China.^[Zhou, Cui] Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Hunan, Peoples R China.^[Zhou, Jinghong] ZhongNan Engn Corp Ltd, Changsha 410004, Hunan, Peoples R China.

IEEE, Chongqing Univ Posts & Telecommunicat

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-4991-6

10.1109/ICIVC.2018.8492778

Key Research and Development Project in Hunan Province of China [2016SK2029]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41604012]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2017M612604]; High - level Talent Research Foundation of Central South Forestry University of Science and Technology [104-0383]

本校为第一且通讯机构

The obtained precisely high frequency information is the key of single-frame image super-resolution reconstruction by using two-dimensional wavelet. Because the bicubic interpolation of high frequency components decomposed by wavelet will introduce noise, it will affect reconstruction effect. An improved algorithm using Fourier transform and zero-padding resampling instead of bicubic interpolation is proposed in this paper. The advantage of frequency domain interpolation is obtained by using Fourier transform and zero-padding resampling. And high frequency components obtained by wavelet decomp...