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.

DIGITAL IMAGE WATERMARKING CAPACITY ANALYSIS

2005 ◽  
Vol 02 (01) ◽  
pp. 55-61 ◽  
Author(s):  
FAN ZHANG ◽  
HONGBIN ZHANG
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Communication Channel ◽  
Image Watermarking ◽  
Average Energy ◽  
Capacity Analysis ◽  
Blind Watermarking ◽  
Digital Image Watermarking ◽  
Adaptive Watermarking ◽  
Analysis Scheme

In watermarking schemes, image can be considered as a communication channel to transmit messages. This paper presents a new adaptive capacity analysis scheme for image watermarking, realizes a content adaptive watermarking algorithm invisibly embedding the strongest watermark, and discusses the watermarking capacity of blind watermarking and non-blind watermarking. This paper also analyzes the relation between watermarking capacity and watermarking detection bit error rate (BER), and derives the relation between capacity and the limit of BER. According to the result of research, watermarking detection BER mainly influenced by the watermarking average energy and watermarking capacity. The BER rises with the increase of watermarking capacity.

Efficient cooperative image transmission in one-way multi-hop sensor network

2018 ◽  
Vol 57 (4) ◽  
pp. 321-339 ◽  
Author(s):  
Bilal Al-Hayani ◽  
Haci Ilhan
Keyword(s):  
Wireless Sensor Networks ◽  
Wavelet Transform ◽  
Sensor Networks ◽  
Image Quality ◽  
Bit Error Rate ◽  
Error Rate ◽  
Image Transmission ◽  
Wireless Sensor ◽  
Discrete Wavelet ◽  
Relay Nodes

The challenging task while transmitting the high-quality images over the wireless sensor networks is to achieve the higher throughput, minimum bit error rate without compromising the image quality. As the sensor nodes have the limited processing power, designing energy efficient image transmission is another challenge in this research. This paper proposed a novel method of cooperative image transformation from the transmitter to the receiver for wireless sensor networks. We designed the methods for multi-hop one-way relayed cooperative communication model for wireless sensor networks. We believe that the cooperative communication helps to improve the efficiency of image transmission. The proposed approach focused on efficient relayed image transmission through wireless channels with optimum image quality and bit error rate performances. First, lightweight image quality improvement method was proposed at both transmitter and receiver end as images captured under various illumination conditions. Second, the proposed compressive sensing was performed using the approximation coefficient of 2D discrete wavelet transform. We utilized the wavelet denoising advantage by presenting the hybrid thresholding function. And third, use of decode–forward method at relay nodes to perform the task of decode and forward received image data block. The compressed approximation component of 2D discrete wavelet Transform is further used to apply inverse fast Fourier transform and then in modulation using quadrature phase shift keying to transmit over additive white Gaussian noise channel to relay nodes as per the standard orthogonal frequency-division multiplexing model. The simulation results claim the performance efficiency against the state-of-art methods based on mean square error, peak signal-to-noise ratio, and bit error rate.

scholarly journals A Robust MP3 Steganographic Method against Multiple Compressions Based on Modified Discrete Cosine Transform

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yunzhao Yang ◽  
Xiaowei Yi ◽  
Xianfeng Zhao ◽  
Jinghong Zhang
Keyword(s):  
Social Networking ◽  
Discrete Cosine Transform ◽  
Bit Error Rate ◽  
Error Rate ◽  
Social Networking Sites ◽  
Experimental Results ◽  
Covert Communication ◽  
Embedding Capacity ◽  
Strong Robustness ◽  
Almost All

MP3 appears in various social networking sites wildly, and it is very suitable to be applied for covert communication indeed. However, almost all social networking sites recompress the uploaded MP3 files, which leads to the ineffectiveness of the existing MP3 steganographic methods. In this paper, a robust MP3 steganographic algorithm is proposed with the ability of multiple compressions resistance. First, we discover a new embedding domain with strong robustness. The scalefactor bands of higher energy are applied as the embedding bands. The message bits are embedded by adjusting the position of the MDCT coefficients with the largest magnitude in the embedding bands. Besides, the embedding and extraction operations are realized in the process of MP3 decoding at the same time. Experimental results illustrate that our proposed method is of strong robustness against multiple MP3 compressions. The bit error rate is less than 1% at the MP3 bitrate of 320 kbps. It is worth mentioning that the proposed method is proved to be applicable to social networking sites, such as SoundCloud, for covert communication. Our method achieves a satisfactory level of embedding capacity, imperceptibility, and undetectability.

scholarly journals Reversible Information of Encrypted Image Based on Feature Difference Detection and Wavelet Transform

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Yongsheng Ding ◽  
Yunbo Wei ◽  
Shuisheng Zhang ◽  
Shihang Yu
Keyword(s):  
Wavelet Transform ◽  
Image Watermarking ◽  
Embedding Capacity ◽  
Shift Method ◽  
Additional Information ◽  
Difference Detection ◽  
Fractional Wavelet Transform ◽  
Feature Difference ◽  
Reversible Information Hiding ◽  
Encrypted Images

Aiming at the shortcomings of the existing lossless digital watermarking algorithm based on frequency domain in reversibility and embedding capacity, this study proposes a lossless digital image watermarking algorithm based on fractional wavelet transform, which is used for large-capacity reversible information hiding of images. First, the image is transformed by LeGall5/3 fractional wavelet, and then, the watermark is embedded in the high-frequency subband by the histogram shift method. In order to obtain maximum embedding capacity and reduce image distortion, the methods of selecting embedding parameters and stopping parameters are proposed, respectively. At the same time, in order to prevent overflow and reduce additional information, a new method of generating position map is proposed. The experimental results show that Lena is the result of multilayer embedding based on the algorithm in this study. In order to better observe the distortion phenomenon and enlarge the image, the Lena test image is the watermark image obtained after two and three layers of embedding, and its embedding capacity can be 2.7 bpp. It is proved that wavelet transform is suitable for encrypted images to implement covert communication.

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