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The paper has addressed all reviewer's question.
[# PeerJ Staff Note - this decision was reviewed and approved by Sedat Akleylek, a 'PeerJ Computer Science' Section Editor covering this Section #]
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Please read the reviewer's suggestions and revise the paper.
Although the paper has addressed my questions. However, some problems still need be addressed as follows:
1. The author should provide the core algorithm pseudocode of the method proposed in this article and provide a detailed discussion.
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Please check the reviewers' suggestions and revise the paper.
**PeerJ Staff Note:** It is PeerJ policy that additional references suggested during the peer-review process should only be included if the authors agree that they are relevant and useful.
**PeerJ Staff Note:** Please ensure that all review, editorial, and staff comments are addressed in a response letter and that any edits or clarifications mentioned in the letter are also inserted into the revised manuscript where appropriate.
The paper proposed an information hiding scheme based on an improved FCdDNet. However, some problems should be addressed as follows:
1. The core optimization section of the method presented in this article is not detailed enough, and it is suggested that the description of this section be strengthened.
2. The theoretical feasibility analysis of the proposed optimal structure is missing.
3. The format of the paper should be noted, such as two-end alignment.
4. Some related references should be cited as follows:
Li H, Dong S. Image steganalysis algorithm based on deep learning and attention mechanism for computer communication[J]. Journal of Electronic Imaging, 2024, 33(1): 013015-013015.
Singh H K, Singh A K. Digital image watermarking using deep learning[J]. Multimedia Tools and Applications, 2024, 83(1): 2979-2994.
**PeerJ Staff Note:** It is PeerJ policy that additional references suggested during the peer-review process should only be included if the authors are in agreement that they are relevant and useful.
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The author proposes a method of hiding large-sized color images into small-sized color images. This method utilizes an improved FCdDNet network as the main structure for hiding network sharing, which can achieve 4 times the hiding of information images carrying images.
This manuscript lacks comparisons with the latest research results in the experimental section, and most of the comparison methods are from three years ago.
Actually, the proposed method has a certain degree of innovation, and the experiments are also detailed. However, there still are some processes need to be detailed and some mistakes need to be corrected.
The author did not reveal why the method proposed in this article can hide information images that are four times larger than those carrying images and extract high-quality images.
A scheme of hiding large-size image into small-size image
based on FCdDNet
1. Research needs to make an algorithms of the improvement method
2. Which application used the algorithms of the paper?
3. research needs proofreading.
good
it's OK
keywords are necessary for the research structure
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