Deep salient wood image-based quality assessment-Reference-Cited by-同舟云学术

Deep salient wood image-based quality assessment

Published:2020-05-07 Issue:6 Volume:2 Page:
ISSN:2523-3963
Container-title:SN Applied Sciences
language:en
Short-container-title:SN Appl. Sci.

Author:

Risnandar ^ORCID,Prakasa Esa^ORCID,Erwin Iwan Muhammad^ORCID,Gojali Elli Ahmad^ORCID,Herlan ^ORCID,Lestari Puji^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Physics and Astronomy,General Engineering,General Environmental Science,General Materials Science,General Chemical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42452-020-2671-x.pdf

Reference38 articles.

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3. Gupta P, Moorthy AK, Soundararajan R, Bovik AC (2018) Generalized Gaussian scale mixtures: a model for wavelet coefficients of natural images. Elsevier Signal Process Image Commun 66:87–94. https://doi.org/10.1016/j.image.2018.05.009

4. Li Y, Po L-M, Xu X, Feng L, Yuan F, Cheung C-H, Cheung K-W (2015) No-reference image quality assessment with shearlet transform and deep neural networks. Elsevier Neurocomput 154:94–109. https://doi.org/10.1016/j.neucom.2014.12.015

5. Zeng Z, Yang W, Sun W, Xue J-H, Liao Q (2018) No-reference image quality assessment for photographic images based on robust statistics. Elsevier Neurocomput 313:111–118. https://doi.org/10.1016/j.neucom.2018.06.042

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