Improving the Resolution of Correlation Imaging via the Fluctuation Characteristics
, Xiaoqian Wang 1,*, Chao Gao 1, Zhuo Yu 1,2, Hong Wang 1, Yu Wang 1, Lidan Gou 1 and Zhihai Yao 1,*Round 1
Reviewer 1 Report
Comments and Suggestions for Authorsplease refer to the attachment.
Comments for author File: 
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Author Response
Dear reviewer:
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Author Response File: Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsThis paper proposes a method to improve the resolution of correlation imaging. The authors first conducted theoretical derivation, and then conducted a numerical example verification. The study found that the resolution of the correlation imaging can be improved by the fluctuation characteristics of the
Overall, the structure of this article is good, and the innovative is sound. The following suggestions are provided for the author's reference:
1. The author mentioned in the introduction that there are currently two types of methods that can improve the spatial resolution of correlation imaging. Then, what is the necessity of the method proposed in this article? Or what are the unique advantages compared to previous methods?
2. In the intorduction, it is suggested to add a paragraph to introduce the structure of the paper.
3. Is the theoretical derivation in Section 2 the same as previous theories? The author's contribution in this section needs to be further clarified.
4. From the results of Figure 2 and Figure 3, the recognition effect of this method seens to be not good enough. For example, in Figure 2(e), it is not obvious to distinguish the two-squares object, and in Figure 3(h), it is not obvious to distinguish the three-squares object. Can the recognition effect be clearer?
5. "A whole image of the grayscale object can be got by combining the images of the different grayscale regions, as shown in Fig. 3(h)" ————How to combine them?
6. In Figure 3, the combination recognition effect of e, f, and g is different from Figure 3(h). Please explain.
7. The recognition effect of Figure 6 is also not good engough. Has the author compared it with previous methods?
8. Can the propose method be used for color images?
Comments on the Quality of English LanguageThe quality of English language is good.
Author Response
Dear reviewer:
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 3 Report
Comments and Suggestions for Authors
This paper proposes a mechanism for correlation image improvement based on the fluctuation characteristics of the second-order correlation function.
The paper is very well mathematically based. However, I have some concerns and suggestions:
- The images with text show have the textual part improved. The rule of thumb is to have all texts with the same size as their caption.
- It would be great if the authors could compare the results with other methods and use some metric to evaluate the results rather them let the reader do the visual evaluation.
Its good, no big changes needed.
Author Response
Dear reviewer:
Please see the attachment
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
Comments and Suggestions for Authors1. The ability to use DMD instead of rotating ground glass to modulated objects began after Shapiro [1] proposed the computational ghost imaging method in 2008. Although "2. The resolution of the traditional correlation imaging" points out that DMD is used instead of dual optical path due to the simplification of the system, it lacks evidence. The introduction of computational ghost imaging should be supplemented in the Introducion. And indicate why this paper chose to experiment with one-armed ghost imaging containing DMD.
2. The experimental device in fig. 4 (a), I think, is inconsistent with the experiment. The single-arm ghost imaging containing DMD was used in the paper, but I did not find DMD in the experimental device diagram, and it is not appropriate to mark the single-pixel detector as camera.
[1] J H Shapiro. Computational ghost imaging [J]. Physical Review A, 2008, 78(6).
Comments on the Quality of English LanguageThe English expression can be modified appropriately to improve the fluency of the full text.
Author Response
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Author Response File: Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsAll of my comments have been addressed, and the manuscript can be accepted after minor revisions.
1. Some images can be improved, for example, the bottom images in Figure 5.
2. The limitations of the presented method is suggested to be mentioned in the conclusion.
Author Response
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Reviewer 3 Report
Comments and Suggestions for AuthorsIt seems my concerns were ignored. Graphs are presented with poor quality and frequently the images are stretched. Moreover, there is a lack of a table to summarize and compare the results.
Author Response
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Round 3
Reviewer 3 Report
Comments and Suggestions for AuthorsI still don't see improvement in this paper.
The authors say they have included a "quantitative comparison" when the reader still needs to look at the images and draw their own conclusions.
My previous concerns are still the same.
Author Response
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