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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM39478

Robust Watermarking of Digital Color Pictures using the DT-CWT and DFT

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM39478

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM39478

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

B

B.Jagadish

SR

S.Arrshith Reddy

M

M.Karthik

.R

.V.Prasannajaneya Reddy

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Abstract

Image watermarking is the process of invisibly hiding secret data in the cover image to preserve the original image’s copyright. In this paper, we offer a new framework for robust digital watermarking for colour photos that combines the Discrete Fourier Transform (DFT) and Dual Tree Complex Wavelet Transform (DTCWT). The cover image is initially separated into three channels: Y, U, and V. The Y channel is then converted using DFT and partitioned into ring forms. Using an embedding key, we create pseudo-random patterns to represent the watermark. These patterns are additionally modified and partitioned. The pattern selection watermark is then integrated into the DFT coefficient rings. We also incorporate a rectification watermark into the U channel,DTCWT is used to achieve geometric distortion robustness. Watermark identification and extraction can be completed effectively on the recipient’s end. Compared to earlier techniques, the proposed method is more effective at preserving image quality. Meanwhile, the robustness against typical attacks is stronger

KEYWORDS

Digital watermarking image processing robustness DTCWT image correction.

Cite This Article

B.Jagadish, S.Arrshith Reddy, M.Karthik, .V.Prasannajaneya Reddy, "Robust Watermarking of Digital Color Pictures using the DT-CWT and DFT," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM39478

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Publication Date

3/31/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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