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codes (4)
Implementation of image super resolution based on POCS method
no vote
<span style="color:#4F4F4F;font- family:-apple-system , "font- size:16px;background-color :#FFFFFF;"> The low resolution image is filtered by Gaussian filter (to eliminate the influence of noise), and then the integer displacement is estimated on the filtered image (which is equivalent to using large image block to estimate large displacement), and the estimated displacement is used as the initial value of the next level matching. Next, the low resolution image is sampled by bilinear interpolation, and the up sampled image is filtered by Gaussian filter (to eliminate the data instability caused by bilinear interpolation), and then the block matching is continued on the filtered image to obtain the sub-pixel precision motion vector. In this way, through step-by-step up sampling, Gaussian filtering and block matching, the required matching accuracy can be obtained.  
Snakeeee
2018-04-20
1
1
Regularization method for image super resolution processing
no vote
The file contains two regularization methods of L1 and L2, and provides matlab code for implementation. After many tests, the code is available, and the processing effect is very good.
Snakeeee
2018-04-12
1
1
Implementation of total variation super resolution algorithm
no vote
Using total variation regularization super-resolution algorithm for image super-resolution recovery, the effect is super good, ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha ha
Snakeeee
2017-12-13
1
1
Realization of BP algorithm for SAR two dimensional imaging
no vote
SAR two-dimensional imaging BP algorithm, directly available, has been tested, who uses who knows, you know
Snakeeee
2017-12-12
2
1
No more~