Plug-and-Play video super-resolution using edge-preserving filtering

2022 ◽  
pp. 103359
Author(s):  
Vahid Khorasani Ghassab ◽  
Nizar Bouguila
Keyword(s):  
Super Resolution ◽  
Plug And Play ◽  
Edge Preserving

The enhanced deep Plug-and-play super-resolution algorithm with residual channel attention networks

2021 ◽  
pp. 1-10
Author(s):  
Hongguang Pan ◽  
Fan Wen ◽  
Xiangdong Huang ◽  
Xinyu Lei ◽  
Xiaoling Yang
Keyword(s):  
Signal To Noise Ratio ◽  
Low Frequency ◽  
Super Resolution ◽  
Structural Similarity ◽  
Plug And Play ◽  
Attention Networks ◽  
Frequency Information ◽  
Blind Deblurring ◽  
Adaptive Adjustment ◽  
Deep Feature Extraction

In the field of super-resolution image reconstruction, as a learning-based method, deep plug-and-play super-resolution (DPSR) algorithm can be used to find the blur kernel by using the existing blind deblurring methods. However, DPSR is not flexible enough in processing images with high- and low-frequency information. Considering a channel attention mechanism can distinguish low-frequency information and features in low-resolution images, in this paper, we firstly introduce this mechanism and design a new residual channel attention networks (RCAN); then the RCAN is adopted to replace deep feature extraction part in DPSR to achieve the adaptive adjustment of channel characteristics. Through four test experiments based on Set5, Set14, Urban100 and BSD100 datasets, we find that, under different blur kernels and different scale factors, the average peak signal to noise ratio (PSNR) and structural similarity (SSIM) values of our proposed method increase by 0.31dB and 0.55%, respectively; under different noise levels, the average PSNR and SSIM values increase by 0.26dB and 0.51%, respectively.

A novel regularized edge-preserving super-resolution algorithm

2013 ◽  
Author(s):  
Hui Yu ◽  
Fu-sheng Chen ◽  
Zhi-jie Zhang ◽  
Chen-sheng Wang
Keyword(s):  
Super Resolution ◽  
Edge Preserving ◽  
Resolution Algorithm

Preconditioning for Edge-Preserving Image Super Resolution

2012 ◽  
Vol 21 (1) ◽  
pp. 67-79 ◽  
Author(s):  
S. Pelletier ◽  
J. R. Cooperstock
Keyword(s):  
Super Resolution ◽  
Edge Preserving ◽  
Image Super Resolution

A fast approach for edge preserving super-resolution

2011 ◽  
Author(s):  
Kishor P. Upla ◽  
Prakash P. Gajjar ◽  
Manjunath V. Joshi ◽  
Asim Banerjee ◽  
Vineet Singh
Keyword(s):  
Super Resolution ◽  
Edge Preserving ◽  
Fast Approach

An edge-preserving iterative back-projection method for image super-resolution

2016 ◽  
Author(s):  
Jing Tan ◽  
Zhi-qiang Tao ◽  
Ai-hua Cao ◽  
Hai-ling Li ◽  
Hong-bing Zhang
Keyword(s):  
Projection Method ◽  
Super Resolution ◽  
Back Projection ◽  
Edge Preserving ◽  
Image Super Resolution ◽  
Iterative Back Projection

An edge preserving high-order PDE for multiframe image super-resolution

2019 ◽  
Vol 356 (11) ◽  
pp. 5834-5857 ◽  
Author(s):  
Amine Laghrib ◽  
Aissam Hadri ◽  
Abdelilah Hakim
Keyword(s):  
Super Resolution ◽  
High Order ◽  
Edge Preserving ◽  
Image Super Resolution

Gradient Based Edge Preserving Interpolation and Its Application to Super-Resolution

2011 ◽  
Vol 131 (11) ◽  
pp. 1901-1906
Author(s):  
Yutaro Iwamoto ◽  
Xian-Hua Han ◽  
Tomoko Tateyama ◽  
Motonori Ohashi ◽  
So Sasatani ◽  
...  
Keyword(s):  
Super Resolution ◽  
Edge Preserving ◽  
Gradient Based
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