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Peer-Review Record

Night Vision Anti-Halation Algorithm of Different-Source Image Fusion Based on Low-Frequency Sequence Generation

Mathematics 2023, 11(10), 2237; https://doi.org/10.3390/math11102237
by Quanmin Guo *, Jiahao Liang and Hanlei Wang
Reviewer 1: Anonymous
Reviewer 4:
Mathematics 2023, 11(10), 2237; https://doi.org/10.3390/math11102237
Submission received: 22 March 2023 / Revised: 23 April 2023 / Accepted: 5 May 2023 / Published: 10 May 2023
(This article belongs to the Special Issue Advances of Mathematical Image Processing)

Round 1

Reviewer 1 Report

In this paper, a night vision anti-halation algorithm based on low-frequency sequence generation is proposed. The paper is well-written and the presentation is clear and easy to follow. However, I have the following comments:

1. In the experiments section, more comparisons should be conducted with more recent methods, i.e. from papers published after 2020.

2. The tables in the paper should be in the same page.

3. Multiple parameters are used in the proposed algorithm such as n, p, sigma....

How does the variation in these parameters affect the performance of the proposed approach. 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

I recommend adding the computation cost analysis.

 

Author Response

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Author Response File: Author Response.docx

Reviewer 3 Report

i suggest add some  sources 

Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.docx

Reviewer 4 Report

See the file attached

Comments for author File: Comments.docx

Author Response

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Author Response File: Author Response.docx

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