A Robust Color Image Watermarking Scheme Based on Discrete Wavelet Transform Domain and Discrete Slantlet Transform Technique

Hadad, Abbas Abd-Alhussein; Khalid, Hiyam N.; Naser, Zainab S.; Taha, Mustafa Sabah

doi:10.18280/isi.270215

Cited by 3 publications

(3 citation statements)

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“…Watermarking [11] is a process of hiding a bit of information into multimedia content such as images, sounds and videos that are not detected by the human visual system (HVS) but easily detected by computer. Prior to the development of digital image watermarking [12]- [15], it was very difficult to achieve the following objectives: obtaining copyright protection, authentication, content identification and proof of ownership.…”

Section: Introductionmentioning

confidence: 99%

Compression Run Length Encoding On Watermarking Using a Combination of DCT, DWT and SVD

Abdussalam,

Pramudya

2023

JAIS

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This study focus on identifying medical images by proposing the Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD) transformation watermarking technique and prove an increase the quality of watermarked images is good in terms of imperceptibility. Due to reduce the need for data memory compression is applied to the host image, where the compression technique chosen is lossless so that the compressed host image experiences a decrease in file size while maintaining data integrity, to maintain image degradation perceptions and diagnostic quality standards during the watermarking process. Here, we use DWT-DCT-SVD and Run Length Encoding (RLE). A good Peak Signal to Noise Ratio (PSNR) more than 30 dB using over than 200 compression size. The extracted watermark image is quite good with a fairly high PSNR value. The highest compression result size is in 32.2511.

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Section: Introductionmentioning

confidence: 99%

Compression Run Length Encoding On Watermarking Using a Combination of DCT, DWT and SVD

Abdussalam,

Pramudya

2023

JAIS

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“…A stego image hosts the secret data with a certain quality, whereas the cover image is pure without containing the secret information. The steganography technique has been applied in the field of medical diagnoses [8], military and defense [9], [10], multimedia biometric data security [11], and cloud computing [12]. On the next page, Figure 1 exposes the fundamental issues and difficulties concerning the performance of the existing steganography schemes related to the payload capacity, imperceptibility, and security [12], [13].…”

Section: Introductionmentioning

confidence: 99%

A crypto-steganography scheme for IoT applications based on bit interchange and crypto-system

Alsamaraee

Ali

2022

Bulletin EEI

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Image steganography and cryptography have been used widely due to the dramatic evolution of the internet of things (IoT) and the simplicity of capturing and transferring digital images. Pressing challenges in the context of a steganography system include security, imperceptibility, and capacity issues. In the existing schemes, fixing one issue has been indicated to affect the other and vice versa. Based on the above challenges, a new scheme has been proposed for the Crypt-steganography scheme. The proposed scheme consists of three main contributions. The first contribution is hybrid additive cryptography (HAC), which is related to encrypting secret messages before the embedding process to ensure security. The HAC depends on ElGamal elliptic curve cryptosystem (ECC) with cubic Bézier curve to achieve text confidentiality. The second contribution is a bit interchange method (BIGM), which is related to the embedding process and solves the image's imperceptibility. The third contribution is a new image partitioning method (IPM). The IPM contribution increases the randomization of selecting the embedding pixels. The IPM proposes a random pixel selection based on three iterations of the Hénon Map function used with IPM. Different parameters are used to evaluate the proposed scheme. Based on the findings, the proposed scheme gives evidence to overcome existing challenges.

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“…Image steganography system has become the most popular research area than the other types of systems because of the availability, ease to use by users, and the ability to hold a large amount of data, in addition to the difficulty of noticing the hidden data by the unwanted third party [5].…”

Section: Introductionmentioning

confidence: 99%

High Capacity Image Steganography System based on Multi-layer Security and LSB Exchanging Method

Hameed¹,

Mokri²,

Taha³

et al. 2022

IJACSA

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Data security is becoming an important issue because of the vast use of the Internet and data transfer from one place to another. Security of these data is essential, especially when these data represent critical information. There are several techniques used to hide these data, such as encryption. Steganography can be utilised as an alternative to encryption because encryption is susceptible to data modification during transmission. Steganography is the hiding data on a cover multimedia such as images, audio, and video. The technique allows security for data transmission so unwanted third parties cannot notice the hidden data. The challenge of steganography is the trade-off between the hidden data's payload capacity and the system's imperceptibility and robustness. If the hidden data increases, the imperceptibility and the robustness will be decreased. This case is a big challenge in this digital world where social media, Internet, and data transfer are used hugely. Because of this, this paper proposes using a modified Least Significant Bit (LSB) method for the embedding process called Multi-Layer Least Significant Bit Exchange Method (MLLSBEM). This proposed algorithm uses the AES encryption method to encrypt the secret text and then uses Huffman coding to compress the encrypted message as pre-processing data. The proposed study seeks to strike a compromise between important issues, provide maximum payload capacity, and retain high security, imperceptibility, and reliability for secret communication Using image processing and steganography techniques. Simulation findings demonstrate that the suggested method is superior for existing PSNR, SSIM, NCC, and payload capacity investigations. The proposed method is immune to the histogram, chi-square, and HVS attacks.

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A Robust Color Image Watermarking Scheme Based on Discrete Wavelet Transform Domain and Discrete Slantlet Transform Technique

Cited by 3 publications

References 0 publications

Compression Run Length Encoding On Watermarking Using a Combination of DCT, DWT and SVD

Compression Run Length Encoding On Watermarking Using a Combination of DCT, DWT and SVD

A crypto-steganography scheme for IoT applications based on bit interchange and crypto-system

High Capacity Image Steganography System based on Multi-layer Security and LSB Exchanging Method

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