Convolutional Analysis Sparse Coding for Multimodal Image Super-Resolution

With multimodal imaging systems in place, recent research focus has been directed toward exploiting the knowledge from different imaging modalities to solve inverse problems, one example being image super-resolution, considered in this letter. The goal of multimodal image super-resolution (MISR) is...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE sensors letters Vol. 8; no. 6; pp. 1 - 4
Main Authors:	Kumar, Kriti, Majumdar, Angshul, Kumar, A. Anil, Chandra, M. Girish
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.06.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial neural networks Benchmark testing Convolutional codes convolutional sparse coding convolutional transform learning (CTL) Image coding Image enhancement Image reconstruction Image resolution Inverse problems joint optimization Learning multimodal image super-resolution (MISR) Performance enhancement Sensor applications Superresolution Task analysis Transforms
ISSN:	2475-1472, 2475-1472
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!