A Secure &amp; Invisible Image Watermarking Scheme Based on Wavelet Transform in HSI Color Space

Haribabu, Maruturi; Bindu, Ch. Hima; Swamy, K. Veera

doi:10.1016/j.procs.2016.07.234

Cited by 27 publications

(13 citation statements)

References 7 publications

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“…Extensive experiments were carried out, and the results demonstrated strong robustness and imperceptibility of the system against some common attacks. Another paper [98] proposed an efficient digital image watermarking technique based on the wavelet transform in HSI color space for protecting copyright holder information, in which a one-level wavelet coefficient (LL) is generated in the host image, and 8 × 8 blocking operations are used on the grayscale watermark image. For embedding, each block of both images is compared and scaled with a scaling factor α.…”

Section: Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

2020

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Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images. Based on the desired applications, several suitable watermarking techniques have been developed to mitigate this concern. However, it is tough to achieve a watermarking system that is simultaneously robust and secure. This paper gives details of standard watermarking system frameworks and lists some standard requirements that are used in designing watermarking techniques for several distinct applications. The current trends of digital image watermarking techniques are also reviewed in order to find the state-of-the-art methods and their limitations. Some conventional attacks are discussed, and future research directions are given.

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Section: Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

2020

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“…In both functional and numerical analysis, the DWT describes a wavelet transformation where the waves are discreetly appraised [13]. DWT as a frequency domain technique has a key benefit over Fourier transform as it is capable of secular resolution, i.e., it records the location and frequency data [4].…”

Section: Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

“…This signal was also decomposed simultaneously via the use of a high pass filter h [13]. The resultant outputs were the comprehensive and approximation coefficients [3].…”

Section: Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

Combined DWT-DISB based image watermarking optimized for decision making problems

Mohammed

Al-Fatlawi²,

Kamil³

2019

PEN

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“…In the research work [17], the authors propose a method using DWT in Hue, Saturation, and Intensity (HSI) color space. First, selecting I plane from the original image (in HSI form).…”

Section: Related Workmentioning

confidence: 99%

A New Steganography Technique using JPEG Images

Watheq¹,

Almasalha²,

Mahmoud³

2018

ijacsa

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Steganography is a form of security technique that using ambiguity to hide a secret message within an ordinary message between senders and receivers. In this paper, we propose a new steganography technique for hiding data in Joint Photographic Experts Group (JPEG) images as it is the most known type of image compression between the lossy type compressions. Our proposed work is based on lossy compression (frequency domain) in images. This type of compression is susceptible to change even for the smallest amount of change which raises a difficulty to find a proper location to embed data. This should be done without affecting the image quality and without allowing anyone to notice the hidden message. From the senders side, first, we divide the image into 8*8 blocks, then apply a Discrete Cosine Transform (DCT), Quantization, and zigzag processes respectively. Second, the secret message is embedded at the end of each selected zigzag block array using the best method of our experimental results. Third, the rest of the code applies the Run Length Code (RLC), Different Pulse Code Modularity (DPCM) and Huffman encoder to obtain the compressed image that includes the embedded message. From the receiver's side, we will reverse the previous steps to extract the secret message using an encrypted shared key via a secure channel. Our experimental results show that the best array content size of zigzag computed coefficients are between 1 to 20. This selection allows us to utilize more than half of the image blocks to embed the secret message and the difference between the cover image that holds the secret message and the original cover image is very minimal and hard to detect.

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A Secure & Invisible Image Watermarking Scheme Based on Wavelet Transform in HSI Color Space

Cited by 27 publications

References 7 publications

Digital Image Watermarking Techniques: A Review

Digital Image Watermarking Techniques: A Review

Combined DWT-DISB based image watermarking optimized for decision making problems

A New Steganography Technique using JPEG Images

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