A Novel Unbiased Deep Learning Approach (DL-Net) in Feature Space for Converting Gray to Color Image-Reference-Cited by-同舟云学术

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A Novel Unbiased Deep Learning Approach (DL-Net) in Feature Space for Converting Gray to Color Image

Published:2023 Issue: Volume:11 Page:78918-78933
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gain Mrityunjoy¹^ORCID,Debnath Rameswar¹^ORCID

Affiliation:

1. Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh

Funder

Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery

NSERC Collaborative Research and Training Experience (CREATE) grant on Software Analytics Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10091111.pdf?arnumber=10091111

Reference58 articles.

1. A baseline for detecting misclassified and out-of-distribution examples in neural networks;hendrycks;Proc ICLR,2017

2. Image Quality Assessment: From Error Visibility to Structural Similarity

3. Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks

4. Image Quality Metrics: PSNR vs. SSIM

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