Super-resolution reconstruction using nonlocal means

2013 ◽  
Vol 21 (6) ◽  
pp. 1576-1585 ◽  
Author(s):  
李家德 LI Jia-de ◽  
张叶 ZHANG Ye ◽  
贾平 JIA Ping
Author(s):  
Pengfei Song ◽  
Joshua D. Trzasko ◽  
Armando Manduca ◽  
Runqing Huang ◽  
Ramanathan Kadirvel ◽  
...  

2016 ◽  
Vol 124 ◽  
pp. 173-183 ◽  
Author(s):  
Xiaoyan Li ◽  
Hongjie He ◽  
Ruxin Wang ◽  
Jun Cheng

2009 ◽  
Vol 18 (1) ◽  
pp. 36-51 ◽  
Author(s):  
M. Protter ◽  
M. Elad ◽  
H. Takeda ◽  
P. Milanfar

2015 ◽  
Vol 16 (2) ◽  
pp. 296
Author(s):  
Gunnam Suryanarayana ◽  
Ravindra Dhuli

In this correspondence, we propose a novel image resolution enhancement algorithm based on discretewavelet transform (DWT), stationary wavelet transform (SWT) and sparse signal recovery of the inputimage. The nonlocal means filter is employed in the preliminary denoising stage of the proposed method.The denoised input low resolution (LR) image is then decomposed into different frequency subbands byemploying DWT and SWT simultaneously. In parallel, the denoised LR image is subjected to a sparse signalrepresentation based interpolation. All the estimated high frequency subbands as well as the sparseinterpolated LR image are fused to generate a high resolution (HR) image by using inverse discrete wavelettransform (IDWT). Experimental results on various test images show the superiority of our method over theconventional and state-of-the-art single image super- resolution (SR) techniques in achieving the real timeperformance.


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