Super-Resolution Method by Registration of Multi-scale Components Considering Color Sampling Pattern and Frequency Spectrum Power of UHDTV Camera

2016 ◽  
Author(s):  
Yasutaka Matsuo ◽  
Shinichi Sakaida
Keyword(s):  
Frequency Spectrum ◽  
Super Resolution ◽  
Resolution Method ◽  
Multi Scale ◽  
Sampling Pattern

Fusion of multi-scale DEMs using a regularized super-resolution method

2015 ◽  
Vol 29 (12) ◽  
pp. 2095-2120 ◽  
Author(s):  
Linwei Yue ◽  
Huanfeng Shen ◽  
Qiangqiang Yuan ◽  
Liangpei Zhang
Keyword(s):  
Super Resolution ◽  
Resolution Method ◽  
Multi Scale

scholarly journals Enhanced Single Image Super Resolution Method Using Lightweight Multi-Scale Channel Dense Network

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3351
Author(s):  
Yooho Lee ◽  
Dongsan Jun ◽  
Byung-Gyu Kim ◽  
Hunjoo Lee
Keyword(s):  
Super Resolution ◽  
Perceptual Quality ◽  
Dense Network ◽  
Single Image ◽  
Resolution Method ◽  
Multi Scale ◽  
Training Images ◽  
Image Super Resolution ◽  
Single Image Super Resolution ◽  
Sr Method

Super resolution (SR) enables to generate a high-resolution (HR) image from one or more low-resolution (LR) images. Since a variety of CNN models have been recently studied in the areas of computer vision, these approaches have been combined with SR in order to provide higher image restoration. In this paper, we propose a lightweight CNN-based SR method, named multi-scale channel dense network (MCDN). In order to design the proposed network, we extracted the training images from the DIVerse 2K (DIV2K) dataset and investigated the trade-off between the SR accuracy and the network complexity. The experimental results show that the proposed method can significantly reduce the network complexity, such as the number of network parameters and total memory capacity, while maintaining slightly better or similar perceptual quality compared to the previous methods.

scholarly journals Multi-FAN: multi-spectral mosaic super-resolution via multi-scale feature aggregation network

2021 ◽  
Vol 32 (2) ◽  
Author(s):  
Mehrdad Sheoiby ◽  
Sadegh Aliakbarian ◽  
Saeed Anwar ◽  
Lars Petersson
Keyword(s):  
Super Resolution ◽  
Scale Feature ◽  
Multi Scale ◽  
Feature Aggregation
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