Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning-Reference-Cited by-同舟云学术

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Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning

Published:2022-08-29 Issue: Volume: Page:
ISSN:
Container-title:2022 30th European Signal Processing Conference (EUSIPCO)
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Author:

Kanth R Krishna¹,Gigie Andrew¹,Kumar Kriti²,Kumar A Anil¹,Majumdar Angshul²,P Balamuralidhar¹

Affiliation:

1. TCS Research,India

2. IIIT Delhi,New Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9908519/9909515/09909616.pdf?arnumber=9909616

Reference25 articles.

1. Multispectral Joint Image Restoration via Optimizing a Scale Map

2. Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries

3. Deep Joint Image Filtering

4. A Deep Primal-Dual Network for Guided Depth Super-Resolution

5. Deep depth super-resolution: Learning depth super-resolution using deep convolutional neural network;song;Asian Conference on Computer Vision,2016

Cited by 1 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. Convolutional Analysis Sparse Coding for Multimodal Image Super-Resolution;IEEE Sensors Letters;2024-06

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