Super-resolution from noisy image sequences exploiting a 2D parametric motion model

2002 ◽  
Author(s):  
F. Dekeyser ◽  
P. Bouthemy ◽  
P. Perez ◽  
E. Payot
Keyword(s):  
Super Resolution ◽  
Image Sequences ◽  
Motion Model ◽  
Noisy Image ◽  
Parametric Motion

A Video Super Resolution Algorithm Based on Wavelet Coefficient

2014 ◽  
Vol 610 ◽  
pp. 425-428
Author(s):  
Wei Jian Liu ◽  
Si Da Xiao ◽  
Ruo He Yao
Keyword(s):  
High Frequency ◽  
Wavelet Coefficient ◽  
Three Dimensional ◽  
Super Resolution ◽  
Structural Similarity ◽  
Image Sequences ◽  
Discrete Wavelet ◽  
Resolution Image ◽  
Resolution Algorithm ◽  
Visual Results

In this paper, we propose a new super-resolution algorithm based on wavelet coefficient. The proposed algorithm uses discrete wavelet transform (DWT) to decompose the input low-resolution image sequences into four subband images, including LL, LH, HL, HH. Then the input images have been processed by the 3DSKR (Three Dimensional Steering Kernel Regression) super resolution (SR) algorithm, and the result replaces the LL subband image, while the three high-frequency subband images have been interpolated. Finally, combining all these images to generate a new high-resolution image by using inverse DWT. Proposed method has been verified on Calendar and Foliage by Matlab software platform. The peak signal-to-noise (PSNR), structural similarity (SSIM) and visual results are compared, and show that the computational complexity of the proposed algorithm decline by 30 percent compared with the existing algorithm to obtain the approximate results.

scholarly journals Online multi-frame super-resolution of image sequences

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Jieping Xu ◽  
Yonghui Liang ◽  
Jin Liu ◽  
Zongfu Huang ◽  
Xuewen Liu
Keyword(s):  
Super Resolution ◽  
Image Sequences

scholarly journals Joint Prior Learning for Visual Sensor Network Noisy Image Super-Resolution

Sensors ◽  
2016 ◽  
Vol 16 (3) ◽  
pp. 288 ◽  
Author(s):  
Bo Yue ◽  
Shuang Wang ◽  
Xuefeng Liang ◽  
Licheng Jiao ◽  
Caijin Xu
Keyword(s):  
Sensor Network ◽  
Super Resolution ◽  
Noisy Image ◽  
Prior Learning ◽  
Visual Sensor ◽  
Visual Sensor Network ◽  
Image Super Resolution
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