Image super resolution model enabled by wavelet lifting with optimized deep convolutional neural network-Reference-Cited by-同舟云学术

Image super resolution model enabled by wavelet lifting with optimized deep convolutional neural network

Published:2021-08-11 Issue:1 Volume:39 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Valli Bhasha Achukatla¹^ORCID,Venkatramana Reddy Balam Diguvathattu²

Affiliation:

1. ECE Department JNTUA Ananthapuramu India

2. ECE Department Sir Vishveshwaraiah Institute of Science & Technology Madanapalle India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12793

Reference38 articles.

1. Infrared image registration and high‐resolution reconstruction using multiple translationally shifted aliased video frames;Alam M. S.;IEEE Transactions on Instrumentation and Measurement,2000

2. E‐ProSRNet: An enhanced progressive single image super‐resolution approach;Chudasama V.;Computer Vision and Image Understanding,2020

3. Image super‐resolution using deep convolutional networks;Dong C.;IEEE Transactions on Pattern Analysis and Machine Intelligence,2016

4. Multi‐scale gradient image super‐resolution for preserving SIFT key points in low‐resolution images;Fahim Noor D.;Signal Processing: Image Communication,2019

5. Fast and robust multiframe super resolution;Farsiu S.;IEEE Transactions on Image Processing,2004

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