Super-resolution compressed sensing imaging algorithm based on sub-pixel shift

2018 ◽  
Vol 22 (S4) ◽  
pp. 8407-8413 ◽  
Author(s):  
Bing Xu ◽  
Xiaoping Zhang ◽  
Xianjun Wu
Keyword(s):  
Compressed Sensing ◽  
Super Resolution ◽  
Imaging Algorithm

Microwave Correlation Forward-Looking Super-Resolution Imaging Based on Compressed Sensing

2021 ◽  
pp. 1-12
Author(s):  
Yinghui Quan ◽  
Rui Zhang ◽  
Yachao Li ◽  
Ran Xu ◽  
Shengqi Zhu ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Super Resolution ◽  
Resolution Imaging ◽  
Forward Looking

scholarly journals A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI

2015 ◽  
pp. 57-68 ◽  
Author(s):  
Lipeng Ning ◽  
Kawin Setsompop ◽  
Oleg Michailovich ◽  
Nikos Makris ◽  
Carl-Fredrik Westin ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Diffusion Mri ◽  
Super Resolution

Super Resolution Optic Three-dimensional Imaging Based on Compressed Sensing

2015 ◽  
Vol 44 (3) ◽  
pp. 328001
Author(s):  
王锋 WANG Feng ◽  
罗建军 LUO Jian-jun ◽  
唐兴佳 TANG Xing-jia ◽  
李立波 LI Li-bo ◽  
胡炳樑 HU Bin-liang
Keyword(s):  
Compressed Sensing ◽  
Three Dimensional ◽  
Super Resolution ◽  
Three Dimensional Imaging

Fast compressed sensing analysis for super-resolution imaging using random sampling operator

2017 ◽  
Vol 46 (2) ◽  
pp. 201002
Author(s):  
王中阳 Wang Zhongyang ◽  
周燕飞 Zhou Yanfei ◽  
张小伟 Zhang Xiaowei ◽  
沈 灏 Shen Hao ◽  
李恩荣 Li Enrong ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Random Sampling ◽  
Super Resolution ◽  
Resolution Imaging

Fast compressed sensing analysis for super-resolution imaging using random sampling operator

2017 ◽  
Vol 46 (2) ◽  
pp. 201002
Author(s):  
王中阳 Wang Zhongyang ◽  
周燕飞 Zhou Yanfei ◽  
张小伟 Zhang Xiaowei ◽  
沈 灏 Shen Hao ◽  
李恩荣 Li Enrong ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Random Sampling ◽  
Super Resolution ◽  
Resolution Imaging

Super-Resolution Optical Fluctuation Imaging Algorithm Based on Spatial Gaussian Filter

2016 ◽  
Vol 53 (8) ◽  
pp. 081001 ◽  
Author(s):  
李蕊 Li Rui ◽  
屈惠明 Qu Huiming ◽  
张运海 Zhang Yunhai ◽  
姜杉 Jiang Shan
Keyword(s):  
Super Resolution ◽  
Gaussian Filter ◽  
Imaging Algorithm

Corrigendum to “A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging”

NeuroImage ◽  
2016 ◽  
Vol 142 ◽  
pp. 696 ◽  
Author(s):  
Lipeng Ning ◽  
Kawin Setsompop ◽  
Oleg Michailovich ◽  
Nikos Makris ◽  
Martha E. Shenton ◽  
...  
Keyword(s):  
High Resolution ◽  
Compressed Sensing ◽  
Diffusion Imaging ◽  
Super Resolution ◽  
Very High

scholarly journals Super-resolution reconstruction for a single image based on self-similarity and compressed sensing

2018 ◽  
Vol 12 (3) ◽  
pp. 234-244
Author(s):  
Qiang Yang ◽  
Huajun Wang
Keyword(s):  
Image Reconstruction ◽  
Compressed Sensing ◽  
Sparse Representation ◽  
Super Resolution ◽  
Reconstruction Algorithm ◽  
Single Image ◽  
Low Resolution ◽  
Self Similarity ◽  
Resolution Image ◽  
Reconstruction Performance

Super-resolution image reconstruction can achieve favorable feature extraction and image analysis. This study first investigated the image’s self-similarity and constructed high-resolution and low-resolution learning dictionaries; then, based on sparse representation and reconstruction algorithm in compressed sensing theory, super-resolution reconstruction (SRSR) of a single image was realized. The proposed algorithm adopted improved K-SVD algorithm for sample training and learning dictionary construction; additionally, the matching pursuit algorithm was improved for achieving single-image SRSR based on image’s self-similarity and compressed sensing. The experimental results reveal that the proposed reconstruction algorithm shows better visual effect and image quality than the degraded low-resolution image; moreover, compared with the reconstructed images using bilinear interpolation and sparse-representation-based algorithms, the reconstructed image using the proposed algorithm has a higher PSNR value and thus exhibits more favorable super-resolution image reconstruction performance.

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