Robust Image Watermarking Based on Psychovisual Threshold

Ernawan, Ferda

doi:10.5614/itbj.ict.res.appl.2016.10.3.3

Cited by 19 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…HVS characteristics are used to determine the suitable embedding locations and it can avoid significant distortions during the embedding watermark [24]. The entropy of HVS characteristics can be expressed as follows [25]:…”

Section: Human Visual Systemmentioning

confidence: 99%

Multiple watermarking technique using optimal threshold

Alias

Ernawan

2020

IJEECS

Self Cite

View full text Add to dashboard Cite

<span>The multiple watermarking technique has drawn more attention due to high demand for embedding more than one copyright. This paper proposes a multiple watermarking scheme using DWT-SVD by utilizing HVS characteristics. Our scheme embeds multiple watermarks in red and blue colors. The proposed scheme examines the coefficients of U orthogonal matrix for embedding and extracting watermarks. Watermarks are scrambled by Arnold transform before embedded in the host image in order provide additional security. The optimal thresholds for red and blue colors are revealed by finding a trade-off between normalized-cross correlation and imperceptibility from quantization steps. The experimental results demonstrate that our scheme achieves high resistant under JPEG and JPEG2000 compression for both inserted watermarks. </span>

show abstract

Section: Human Visual Systemmentioning

confidence: 99%

Multiple watermarking technique using optimal threshold

Alias

Ernawan

2020

IJEECS

Self Cite

View full text Add to dashboard Cite

show abstract

“…Copyright issues are dealt with using a variety of information security measures. Watermarking digital images [1] is the most effective approach for data authentication and copyright protection [2]. This is accomplished by embedding a text, picture or logo within the original image.…”

Section: Introductionmentioning

confidence: 99%

Firefly optimized robust, imperceptible, secure watermarking scheme

Agrawal

Bhalchandra

2022

IJEECS

View full text Add to dashboard Cite

A multi-objective optimized hybrid image watermarking technique is being proposed considering robustness, imperceptibility and security aspects using two different scaling factors. In this technique, original image is subjected to third level lifting wavelet transform (LWT) followed by singular value decomposition (SVD). Watermark is split into two parts to embed each of them into a different subband. In the suggested scheme, firefly algorithm is employed to get optimum solutions for two scaling factors to balance trade-off amid invisibility and robustness. Security in digitized data is an important aspect of image processing. It is improved with a key, an input to Arnold transform for scrambling watermark, to watermark embedding and extraction procedures. All the performance parameters like peak signal to noise ratio (PSNR), structural similarity index measure (SSIM), normalized correlation coefficient (NCC) and bit error rate (BER) are used in formulating maximization objective function. Evaluation of the proposed algorithm indicates that it is characterized by fairly good robustness, invisibility and security.

show abstract

“…Image processing technology has taken an important role in the rapid growth of wireless media and the preservation of image data that is prone to loss, which has led to the mandatory use of image processing technologies in broad and important fields in medicine, industry and academia, The spatial frequency domain, which has a role in immersing the watermark in the image pixels, but when directing attacks and noise, the spatial frequency is weak in the face of these attacks, but using transformations such as Discrete Fourier Transform (DFT) which is a relative strength in the face of these attacks and the introduction of the watermark [1], [ 2]. Also electronic technologies, especially in the conditions of COVID-19, which led to the need to exchange and transfer data and in order to preserve copyright by placing a watermark on digital images whose effectiveness is very clear, such as including a picture or logo within the image [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Novel Watermarking efficiency using New Discrete Laguerre Wavelets Transform (NDLWT)

Abdulrahman

Ammar

Tahir

2022

ijhs

View full text Add to dashboard Cite

Watermarking in protecting brands from possible counterfeiting is considered one of the methods of processing digital and color images. This technique requires the discovery of advanced methods to obtain the best results by discovering a new filter instead of the standard filters that were used without reaching the peak of the required and optimal values through which the images are analyzed. Colored with the proposed watermark in the process of immersion and separation the new filter is derived from Laguerre polynomials and using mathematical methods to derive the filter. And using it in analyzing the image to reach the best results, and through the proposed New Discrete Laguerre Wavelets Transform NDLWT for watermark algorithms it becomes clear the efficiency of the proposed theory in reading the most important criteria for the quality of the extracted image.

show abstract

Robust Image Watermarking Based on Psychovisual Threshold

Cited by 19 publications

References 25 publications

Multiple watermarking technique using optimal threshold

Multiple watermarking technique using optimal threshold

Firefly optimized robust, imperceptible, secure watermarking scheme

Novel Watermarking efficiency using New Discrete Laguerre Wavelets Transform (NDLWT)

Contact Info

Product

Resources

About