Tchebichef Transform Domain-Based Deep Learning Architecture for Image Super-Resolution-Reference-Cited by-同舟云学术

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Tchebichef Transform Domain-Based Deep Learning Architecture for Image Super-Resolution

Published:2022 Issue: Volume: Page:1-12
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Kumar Ahlad¹^ORCID,Singh Harsh Vardhan²,Khare Vijeta³

Affiliation:

1. Department of Information and Communication Technology, Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT), Gandhinagar, Gujarat, India

2. Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT), Gandhinagar, Gujarat, India

3. Adani Institute of Infrastructure Engineering, Gujarat, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09828525.pdf?arnumber=9828525

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of medical images super-resolution via a wavelet pyramid recursive neural network constrained by wavelet energy entropy;Neural Networks;2024-10

2. Fast and accurate computation of high‐order Tchebichef polynomials;Concurrency and Computation: Practice and Experience;2022-09-11

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