High embedding capacity dual digital watermarking using stationary wavelet transform

2021 ◽  
Author(s):  
P. Sivananthamaitrey ◽  
P. Rajesh Kumar
Keyword(s):  
Wavelet Transform ◽  
Digital Watermarking ◽  
Embedding Capacity ◽  
Stationary Wavelet Transform ◽  
High Embedding Capacity

scholarly journals A Watermarking Method for Selective Image Authentication Tollerant to JPEG Compression, Brightness and Contrast Adjustments

2020 ◽  
Vol 6 (3) ◽  
pp. 92-99
Author(s):  
A. Zhuvikin
Keyword(s):  
Wavelet Transform ◽  
Digital Watermarking ◽  
Visual Quality ◽  
Image Authentication ◽  
Jpeg Compression ◽  
Discrete Wavelet ◽  
Embedding Capacity ◽  
Image Histogram ◽  
Embedding Technique ◽  
Promising Application

One of the most promising application of the digital watermarking is the selective image authentication (SIA) systems. In order to implement such a system one requires an embedding algorithm with an appropriate capacity. In addition, an embedding method is to be robust for the class of non-malicious manipulations which the SIA system is designed for. We propose the new method which has a significant embedding capacity while still being tolerant to JPEG compression, brightness and contrast adjustments. This was possible due to the extension of the well-known discrete wavelet transform embedding technique. We propose two-step embedding scheme and the use of image histogram equalisation and recovering operations. The experiment results show acceptable tolerance to JPEG compression, brightness and contrast adjustments with good visual quality in terms of PSNR just after embedding.

scholarly journals Image Watermarking pada Citra Medis menggunakan Compressive Sensing berbasis Stationary Wavelet Transform

2020 ◽  
Vol 8 (1) ◽  
pp. 43
Author(s):  
YASQI HAFIZHANA ◽  
IRMA SAFITRI ◽  
LEDYA NOVAMIZANTI ◽  
NUR IBRAHIM
Keyword(s):  
Wavelet Transform ◽  
Compressive Sensing ◽  
Bit Error Rate ◽  
Error Rate ◽  
Image Watermarking ◽  
Extraction Process ◽  
Embedding Capacity ◽  
Stationary Wavelet Transform ◽  
Final Project ◽  
Ownership Rights

ABSTRAK Watermarking pada citra medis dilakukan untuk melindungi hak kepemilikan dan keaslian sebuah citra medis. Proses embedding dan extraction dirancang menggunakan metode Stationary Wavelet Transform (SWT) dan Statistical Mean Manipulation (SMM) untuk mengubah citra host menjadi sinyal sparse kemudian memasuki proses watermarking. Citra watermark dioptimasi dengan menggunakan metode Compressive Sensing (CS). Hasil akhir dari penelitian ini menunjukkan simulasi Image Watermarking dengan Bit Error Rate (BER) mendekati nilai nol dan PSNR lebih besar dari 40 dB, tanpa diberikan serangan. Penerapan Compressive Sensing menyebabkan nilai PSNR meningkat hingga 3,5 dB dan embedding capacity menjadi empat kali lipat lebih baik. Kata Kunci: Image watermarking, Telemedicine, Stationary Wavelet Transform, Statistical Mean Manipulation, Compressive Sensing. ABSTRACT Watermarking in medical images is carried out to protect ownership rights and authenticity of a medical image. The embedding and extraction process was designed using Stationary wavelet transform (SWT) and Statistical Mean Manipulation (SMM) methods to convert the host image into a sparse signal and then enter the watermarking process. The watermark image is optimized using the Compressive Sensing (CS) method. The final result of this final project shows the simulation of Image Watermarking with the Bit Error Rate (BER) approaching zero and PSNR greater than 40 dB, without being given an attack. The application of the Compressive Sensing pursuit will cause the PSNR increase up to 3.5 dB and embedding capacity four times better. Keywords: Image watermarking, Telemedicine, Stationary Wavelet Transform, Statistical Mean Manipulation, Compressive Sensing.

scholarly journals Efficient Reversible Data Hiding Scheme for AMBTC-Compressed Images

2021 ◽  
Vol 11 (15) ◽  
pp. 6741
Author(s):  
Chia-Chen Lin ◽  
Thai-Son Nguyen ◽  
Chin-Chen Chang ◽  
Wen-Chi Chang
Keyword(s):  
Data Hiding ◽  
Free Space ◽  
Reversible Data Hiding ◽  
Secret Message ◽  
Embedding Capacity ◽  
Absolute Moment ◽  
Compressed Images ◽  
High Embedding Capacity ◽  
Significant Attention ◽  
Efficiency Rate

Reversible data hiding has attracted significant attention from researchers because it can extract an embedded secret message correctly and recover a cover image without distortion. In this paper, a novel, efficient reversible data hiding scheme is proposed for absolute moment block truncation code (AMBTC) compressed images. The proposed scheme is based on the high correlation of neighboring values in two mean tables of AMBTC-compressed images to further losslessly encode these values and create free space for containing a secret message. Experimental results demonstrated that the proposed scheme obtained a high embedding capacity and guaranteed the same PSNRs as the traditional AMBTC algorithm. In addition, the proposed scheme achieved a higher embedding capacity and higher efficiency rate than those of some previous schemes while maintaining an acceptable bit rate.

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