Study on Watermarking Techniques in Digital Images

Pal, Purnima; Singh, Harsh Vikram; Verma, Sagar

doi:10.1109/icoei.2018.8553743

Cited by 10 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first phase is to embed a watermark with a size of 128*128 in a cover image with a size of 512*512 pixels. The watermark image and the cover image specifications are relatively large, whether gray or RGB, in order to bear the watermark image, which is embedded in the cover image.The embeding phase is depend on secret key composed of 8 digits with the range (1)(2)(3)(4)(5)(6)(7)(8), where the numbers 1-8 are selected randomly . Every digit in the key determines the bit position (sequence) of the watermark pixels which will be embeded in the LSB of the cover image.…”

Section: A Least Significant Bit Methodsmentioning

confidence: 99%

“…Preventative measures, data validation, data concealment, and broadcast monitoring Photographic Image Watermarking technology offers a wide range of uses, including data protection, certification, digital media distribution, and tagging of user information. Watermarking data has developed into a critical aspect of information concealment [2].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Hybrid Digital Image Watermarking By Using DWT and LSB Method

2022

IJCCCE

View full text Add to dashboard Cite

The Digital watermarking is a field of information hiding that entails hiding the crucial information in the original data in order to prevent illegal duplication and distribution of multimedia data such as image, video, text and ect.. In this paper, we present two techniques to embed watermarks in the cover image. The first is the Least Significant Bit (LSB) method, which is a spatial domain technique and considered fragile against attacks and other operations. The second method is the frequency domain technique, which uses Discrete Wavelet Transform (DWT) and is considered robust against attacks. The efficiency and performance of these techniques are evaluated based on Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE). From the results, the value of PSNR is above 37 dB, which ensures better imperceptibility and shows better robustness. The comparison between the two techniques shows that the hybrid method was more robust than the LSB method, hence it achieves good invisibility. Index Terms— Digital watermarking, Least Significant Bit (LSB), Discrete Wavelet Transform (DWT), spatial domain, frequency domain.

show abstract

Section: A Least Significant Bit Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Hybrid Digital Image Watermarking By Using DWT and LSB Method

2022

IJCCCE

View full text Add to dashboard Cite

show abstract

“…To have a good watermarking scheme, the watermarking design algorithm must meet some requirements and characteristics [46]. These requirements evaluate the performance of the watermarking technology.…”

Section: Performance Requirements In Digital Watermarkingmentioning

confidence: 99%

Image Watermarking between Conventional and Learning-Based Techniques: A Literature Review

et al. 2022

View full text Add to dashboard Cite

Currently, most transactions and exchanges are conducted through the Internet thanks to technological tools, running the risk of the falsification and distortion of information. This is due to the massive demand for the virtual world and its easy access to anyone. Image watermarking has recently emerged as one of the most important areas for protecting content and enhancing durability and resistance to these kinds of attacks. However, there is currently no integrated technology able to repel all possible kinds of attacks; the main objective of each technology remains limited to specific types of applications, meaning there are multiple opportunities to contribute to the development of this field. Recently, the image watermarking field has gained significant benefits from the sudden popularity of deep learning and its outstanding success in the field of information security. Thus, in this article, we will describe the bridge by which the watermarking field has evolved from traditional technology to intelligent technologies based on deep learning.

show abstract

“…Discrete cosine transform (DCT) is the most popular type of frequency domain transformation that divides a digital image into the cosine and sine frequencies, having distinct amplitudes [10], [11]. Due to this capability, DCT is highly favored in the data compression field and pattern recognition.…”

Section: Discrete Cosine Transform (Dct)mentioning

confidence: 99%

“…Due to its translation invariance attribute, spatial shifts of the digital image only impact the phase representation and not the magnitude representation of the image. Moreover, since DFT is a scaling, translation, and rotation invariant, it can be utilized to recover from geometric distortions, unlike DWT and DCT [10]. Despite its various benefits, DFT's implementation is highly complex and requires high computing cost.…”

Section: Discrete Fourier Transform (Dft)mentioning

confidence: 99%

A robust watermark algorithm for copyright protection by using 5-level DWT and two logos

Hoshi

Zainal

Ismail

et al. 2021

IJEECS

View full text Add to dashboard Cite

<span>Recent growth and development of internet and multimedia technologies have made it significant to upload data; however, in this situation, the protection of intellectual property rights has become a critical issue. Digital media, including videos, audios, and images are readily distributed, reproduced, and manipulated over these networks that will be lost copyright. Also, the development of various data manipulation tools like PDF converter and Photoshop Editor has resulted in digital data copyright issues. So, a digital watermarking technique has emerged as an efficient technique of protecting intellectual property rights by providing digital data copyright authentication and protection. In this technique, a watermarked document was integrated into electronic data to prevent unauthorized access. In this paper, A robust watermark algorithm based on a 5-level DWT and Two Log was proposed to enhance the copyright protection of images in unsecured media. Our lab results validate that our algorithm scheme is robust and forceful against several sets of attacks, and high quality watermarked image was achieved, where the algorithm was assessed by computation of many evaluation metrics such as PSNR, SNR, MAE, and RMSE.</span>

show abstract

Study on Watermarking Techniques in Digital Images

Cited by 10 publications

References 8 publications

A Hybrid Digital Image Watermarking By Using DWT and LSB Method

A Hybrid Digital Image Watermarking By Using DWT and LSB Method

Image Watermarking between Conventional and Learning-Based Techniques: A Literature Review

A robust watermark algorithm for copyright protection by using 5-level DWT and two logos

Contact Info

Product

Resources

About