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ibp

https://github.com/laserlight-cell/ibp

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
    Links to: researchgate.net
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    Academic email domains
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    Scientific vocabulary similarity
    Low similarity (5.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: laserlight-cell
  • License: gpl-3.0
  • Language: MATLAB
  • Default Branch: main
  • Size: 29.3 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed over 4 years ago
Metadata Files
Readme License Citation

README.md

Refer file "ibp.m".

This code is the MATLAB implementation of the super-resolution algorithm Iterative Back Projection (IBP), utilizing a single low resolution image as input.

The code has been created following the principles of IBP mentioned in Yang et al. (2014). Default parameter values mentioned in Yang et al. (2014) have been taken, assuming that they yield satisfactory results in our research.

For more information on our research, kindly refer to our project webpage: https://www.researchgate.net/project/Single-Frame-Hyperspectral-Image-Super-Resolution-Technique

If you find our code useful, kindly use the "CITATION.cff" file.

For more information on single-frame IBP, kindly refer the following papers: 1. Yang C-H, Ma C, Yang M-H. 2014. Single-image super-resolution: A benchmark. In: European conference on computer vision; 2014; Berlin, Heidelberg: Springer. p.372-386 2. Elad M, Feuer A. 1996. Super-resolution reconstruction of an image. In: Proceedings of 19th Convention of Electrical and Electronics Engineers in Israel; 1996: IEEE. p.391-394.

For more information on multi-frame IBP, kindly refer the following paper: 1. Irani M, Peleg S. 1991. Improving resolution by image registration. CVGIP: Gr Models Image Process. 53(3):231-239

Owner

  • Login: laserlight-cell
  • Kind: user

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  Implementation of iterative back projection (IBP)
  algorithm for super-resolving a single remotely
  sensed hyperspectral image
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Kavach
    family-names: Mishra
    email: kmishra@ce.iitr.ac.in
    affiliation: Indian Institute of Technology Roorkee
    orcid: 'https://orcid.org/0000-0002-9893-8149'
  - family-names: Garg
    given-names: Rahul Dev
    name-particle: Dr
    email: rdgarg@ce.iitr.ac.in
    affiliation: Indian Institute of Technology Roorkee
    orcid: 'https://orcid.org/0000-0003-3684-8962'
identifiers:
  - type: url
    value: 'https://github.com/laserlight-cell/IBP/'
keywords:
  - single-frame super resolution
  - hyperspectral remote sensing

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