scholarly journals A Non-Blind Robust and Impercept Watermarking Using Discrete Cosine Transform and Discrete Wavelet Transform

2021 ◽  
pp. 69-76
Author(s):  
Eko Hari Rachmawanti ◽  
Heru Agus Santoso
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Discrete Wavelet Transform ◽  
Discrete Cosine Transform ◽  
Signal To Noise Ratio ◽  
Discrete Wavelet ◽  
Transform Domain ◽  
Cosine Transform ◽  
Advantages And Disadvantages ◽  
Bit Error Ratio

Non-blind watermarking is a form of watermarking with a watermark image validation process that requires a host image. The use of the transform domain is more robust and imperceptible. The transform domain method is resistant to various forms of digital image attacks. In this study, Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) were selected as watermark insertion algorithms. DCT is faster and more resistant to attacks, especially in image compression attacks, but has lower imperceptibility than DWT. DWT is also known to be resistant to noise attacks, filtering, blurring, cropping, and has high imperceptibility depending on the sub-band selection but is not resistant to image compression attacks. Based on each algorithm's advantages and disadvantages, there is an opportunity to combine it to analyze and compare the insertion results with DCT and DWT itself. To test the results of imperceptibility, we used the Peak Signal to Noise Ratio (PSNR), while to test the robustness, we used Cross-Correlation (CC) and Bit Error Ratio (BER). Without attacks, the PSNR on the proposed method can reach 71 dB. The CC value without attack can reach a perfect value of 1 and BER = 0. The highest attack test result is CC = 1 on the filtering attack. From the various tests we have conducted, it has been proven that the DCT-DWT is more imperceptive and robust than previous studies

Image Compression Using Discrete Cosine Transform & Discrete Wavelet Transform

2013 ◽  
Vol 002 (001) ◽  
pp. 25-27 ◽  
Author(s):  
Anurag Tiwari ◽  
◽  
Payal Chandrakant ◽  
Trip ti ◽  
Surabhi Chaudhary ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Discrete Wavelet Transform ◽  
Discrete Cosine Transform ◽  
Discrete Wavelet ◽  
Cosine Transform

Hybrid Color Image Compression Using Discrete Cosine Transform and Discrete Wavelet Transform

2012 ◽  
Vol 198-199 ◽  
pp. 244-248 ◽  
Author(s):  
Ling Tang ◽  
Ming Ju Chen ◽  
Hong Song
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Discrete Wavelet Transform ◽  
Discrete Cosine Transform ◽  
Color Image ◽  
Low Frequency ◽  
Huffman Coding ◽  
Discrete Wavelet ◽  
Cosine Transform ◽  
Color Image Compression

In this research we undertake a study of image compression based on the discrete cosine transform(DCT) and discrete wavelet transform(DWT). Then a hybrid color image compression algorithm based on DCT and DWT is proposed. This algorithm is implemented through transform the color image using DWT in the YCbCr space first, and then DCT in the low frequency, adopt huffman coding, RLE and arithmetic coding in the encoded mode. In experiments, the results outperform the only DCT and the only DWT typically higher in peak signal-to-noise ratio and have better visual quality.

scholarly journals Securing Data: A Study on Different Transform Domain Techniques

2021 ◽  
Vol 16 ◽  
pp. 110-120
Author(s):  
Saugata Dutta ◽  
Kavita Saini
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Discrete Cosine Transform ◽  
Discrete Wavelet ◽  
Transform Domain ◽  
Secret Data ◽  
Cosine Transform ◽  
Video Steganography ◽  
Public Network ◽  
Review Study

Steganography is a technology which is utilized in securing information through hiding data over another data which can be stored or passed over public network without a clue that secret data is hidden in the cover medium. This article focus on securing and hiding the data through transform domain techniques used in Image, Audio and Video steganography. The review study throws light on the algorithm and properties of transform domain techniques and its benefits to utilize in securing data. Parameters such as imperceptibility, capacity and robustness are evaluated for discrete cosine transform (DCT) and discrete wavelet transform (DWT).

scholarly journals Analisis Pengaruh Koefisien Watermarking pada Citra RGB dengan Menggunakan Perbandingan DCT dan DWT

2021 ◽  
Vol 7 (1) ◽  
pp. 62-70
Author(s):  
Kholidiyah Masykuroh
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Discrete Cosine Transform ◽  
Signal To Noise Ratio ◽  
Rapid Development ◽  
Discrete Wavelet ◽  
Signal To Noise ◽  
Cosine Transform ◽  
Noise Ratio ◽  
Rgb Image

Perkembangan internet yang semakin pesat dan kemudahan akses informasi digital menjadi peluang terjadinya cybercrime. Teknik pengamanan diperlukan pada informasi yang akan dikirimkan melalui media transmisi baik wireless maupun wired. Melalui penerapan watermarking diharapkan informasi terjaga dari serangan, penyisipan, penghapusan data, dan penggantian data. Penelitian ini membahas perbandingan metode watermarking menggunakan Discrete Cosine Transform (DCT) dan Discrete Wavelet Transform (DWT) pada citra berwarna. Means Square Error (MSE) dan Peak Signal to Noise Ratio (PSNR) merupakan parameter uji untuk mengukur rasio perbandingan citra asli dan citra watermarking. Hasil pengujian menunjukkan bahwa perbedaan jenis transformasi yang digunakan mempengaruhi nilai SNR citra RGB. Citra RGB dengan menggunakan DCT memiliki nilai SNR yang lebih tinggi dibandingkan dengan DWT yang ditunjukkan dengan nilai SNR citra Peppers 30 dB. Nilai koefisien yang diberikan pada citra yang disisipkan bervariasi mulai dari 5, 10, dan 50. Nilai ini mempengaruhi nilai SNR citra RGB dengan transformasi DCT. Along with the rapid development of the internet and the ease of access to digital information, cybercrime has a chance to occur. Security techniques are needed for information to be transmitted via transmission media, either wireless or wired. The application of watermarking has an opportunity to protect the information from attacks, insertion, deletion, and data replacement. This research discusses the comparison of watermarking methods using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) on color images. Means Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) are a method to test parameters for measure the original image's ratio to the watermark image. The test results showed that the different types of transformations affect the SNR value of the RGB image. RGB image using DCT has a higher SNR value than DWT, which is indicated by the SNR value of Peppers image 30 dB. The coefficient value given to the inserted image varies from 5, 10, and 50. This value affects the SNR value of RGB images with DCT transformation.

A DCT Fractional bit replacement based Dual Watermarking Algorithm for Image Authentication

2020 ◽  
Vol 13 ◽  
Author(s):  
Rahul Dixit ◽  
Amita Nandal ◽  
Arvind Dhaka ◽  
Yohan Varghese ◽  
Vardan Agarwal
Keyword(s):  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Discrete Wavelet Transform ◽  
Discrete Cosine Transform ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Cosine Transform ◽  
Robust Watermark ◽  
Dual Watermarking ◽  
Value Decomposition

: Watermarking is a process of embedding a message inside a digital signal like an image, video or text. It is used for several key reasons such as authenticity verification, ownership recognition and hidden communication. In this paper, we discuss about image watermarking, where secret messages are stored in images. Introduction: We propose a dual watermarking approach, which is based on Discrete Cosine Transform, Discrete Wavelet Transform and Singular Value Decomposition methods. This paper considers one watermark as robust and other water mark as fragile. Method: The robust watermark is embedded in Discrete Wavelet Transform- Singular Value Decomposition - domain and is used to transmit hidden messages. The fragile watermark is embedded in Discrete Cosine Transform domain and is used for verification of secret message of the robust watermark. The proposed algorithm is tested in the experimental results section and shows promising results against denoising, rotation, translation and cropping attacks. Result: The results show that the performance of the proposed algorithm in terms of mean squared error, structural similarity and peak signal to noise ratio is S4considerable as compared with the existing methods. Discussion: We present the comparison results with Himanshu et. al. in table 10, from which we can see that our method performs better with gaussian noise and rotational attack only lacking with Salt and Pepper noise. Fig. 7 and Fig. 8, in terms of resulting PSNR shows the variation of noise variance and degree of rotation. From the graphs it is evident that out method performs better against Gaussian and rotational attack. Conclusion: In this paper a dual watermarking method is proposed in which one watermark is fragile which is called as authentication watermark whereas the other watermark is robust and is called as the information watermark. The authentication watermark is embedded in the fractional part of DCT domain in the cover image and the information watermark is embedded in the diagonal vector of the LL sub-band.

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