Two Images Watermarking by using Exponent Fourier Moments

[Purposes] Most of the existing image watermarking schemes are designed to embed the watermark into independent images. Embedding a watermark into two images at one time is suggested to improve the efficiency of the watermarking procedure. [Methods] First, the two original images were combined together through complex representation, then the watermark was embedded by quantizing the magnitudes of the Exponent Fourier moments of the combined image, and the watermarked combined image was obtained by adding the combined image with the compensation image the was generated by reconstructing image from the modified Exponent Fourier moments. At last, the watermarked combined image was decomposed to obtain two watermarked images. Most importantly, it was impossible to extract watermarks without the access of both watermarked images. [Results] Experimental results have demonstrated the feasibility of the proposed scheme as well as its robustness to various attacks. In comparision with the excellent PCET-based method, with the attack situations of 5×5 median filter, 5×5 average filter, Gaussian noise with variance of 0.03, salt and pepper noise with noise density of 0.03, and JPEG compression factor of 10, the BER values of the proposed method decrease by 36%, 44%, 45%, 59%, and 29%, respectively. Moreover, when extracting watermarks, the extraction time is reduced by 50% compared with processing two images separately.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
DOI
https://doi.org/10.16355/j.tyut.1007-9432.20230483
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two Images Watermarking by using Exponent Fourier Moments

SHILAP Revista de lepidopterología
Advanced Steganography and Watermarking Techniques
article

Two Images Watermarking by using Exponent Fourier Moments

article en

Abstract

[Purposes] Most of the existing image watermarking schemes are designed to embed the watermark into independent images. Embedding a watermark into two images at one time is suggested to improve the efficiency of the watermarking procedure. [Methods] First, the two original images were combined together through complex representation, then the watermark was embedded by quantizing the magnitudes of the Exponent Fourier moments of the combined image, and the watermarked combined image was obtained by adding the combined image with the compensation image the was generated by reconstructing image from the modified Exponent Fourier moments. At last, the watermarked combined image was decomposed to obtain two watermarked images. Most importantly, it was impossible to extract watermarks without the access of both watermarked images. [Results] Experimental results have demonstrated the feasibility of the proposed scheme as well as its robustness to various attacks. In comparision with the excellent PCET-based method, with the attack situations of 5×5 median filter, 5×5 average filter, Gaussian noise with variance of 0.03, salt and pepper noise with noise density of 0.03, and JPEG compression factor of 10, the BER values of the proposed method decrease by 36%, 44%, 45%, 59%, and 29%, respectively. Moreover, when extracting watermarks, the extraction time is reduced by 50% compared with processing two images separately.

SHILAP Revista de lepidopterología
Shanxi University (CN), Shanxi Science and Technology Department (CN)
Clean water and sanitation
Openalex Percentile: Top 51%
Advanced Steganography and Watermarking Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Two Images Watermarking by using Exponent Fourier Moments · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS