A Comparative Study For Color Systems Used In The DCT-DWT Watermarking Algorithm

Al-Afandy, Khalid A.; El-Rabaie, El-Sayed M.; El‐Samie, Fathi E. Abd; Faragallah, Osama S.; Mhalaway, Ahmed El; Shehata, Ahmed M.

doi:10.25046/aj010508

Cited by 10 publications

(8 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This scene was taken from the library of the United States Geological Survey (USGS) agency. All of the used datasets' images are Geo-tiff RGB images where the Geo-tiff RGB images, in remote sensing, are similar to RGB images [28] with the difference that these images contain the coordinates of the covered area. The details of these datasets and the big scene will be introduced, followed by the experiment's setup and results.…”

Section: The Experimental Setup and Resultsmentioning

confidence: 99%

Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM

Al-Afandy¹,

El‐Sayed²,

Baz³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

Remote sensing image processing engaged researchers' attentiveness in recent years, especially classification. The main problem in classification is the ratio of the correct predictions after training. Feature extraction is the foremost important step to build high-performance image classifiers. The convolution neural networks can extract images' features that significantly improve the image classifiers' accuracy. This paper proposes two efficient approaches for remote sensing images classification that utilizes the concatenation of two convolution channels' outputs as a features extraction using two classic convolution models; these convolution models are the ResNet 50 and the DenseNet 169. These elicited features have been used by the fully connected neural network classifier and support vector machine classifier as input features. The results of the proposed methods are compared with other antecedent approaches in the same experimental environments. Evaluation is based on learning curves plotted during the training of the proposed classifier that is based on a fully connected neural network and measuring the overall accuracy for the both proposed classifiers. The proposed classifiers are used with their trained weights to predict a big remote sensing scene's classes for a developed test. Experimental results ensure that, compared with the other traditional classifiers, the proposed classifiers are further accurate.

show abstract

Section: The Experimental Setup and Resultsmentioning

confidence: 99%

Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM

Al-Afandy¹,

El‐Sayed²,

Baz³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…DWT is one of the common and popular mathematical conversions used for digital watermarking [2,10,11].…”

Section: Suggested Methods and Techniques A-discrete Wave Transformationmentioning

confidence: 99%

“…During the sharing and distribution of multimedia data, digital images can be easily reproduced and manipulated. This situation causes the copyright violations of users and the violations of privacy of personal data [1,2,3]. Many methods are used to protect digital images, one of them is the watermarking technique [1,2,4,5].…”

Section: Introductionmentioning

confidence: 99%

“…This situation causes the copyright violations of users and the violations of privacy of personal data [1,2,3]. Many methods are used to protect digital images, one of them is the watermarking technique [1,2,4,5]. The digital watermarking is used for data protection in multimedia types of audio, video, image and text [1,4,6,7].…”

Section: Introductionmentioning

confidence: 99%

“…In From these studies [1], an algorithm for digital image watermarking based on automatic thresholding with hybrid watermarking designed to embed watermarks in the transformation area using both DCT and DWT is proposed. In [2], a comparative study on the use of different color systems by applying the watermarking algorithms DCT and DWT for three different color systems which are Hue-Saturation-Value (HSV) color system, Red-Green-Blue (RGB) color system and YIQ color system is presented.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Digital Image Watermarking with Hybrid Structure of DWT, DCT, SVD Techniques and The Optimization with BFO Algorithm

Yildiz

Üstünsoy

Sayan

2023

Journal of Polytechnic

View full text Add to dashboard Cite

The copyright violations in digital images and the violations of the privacy of personal data are happened with the development of technology and the widespread use of the internet. The usage of watermarks in digital images provides high protection to image owners in copyright protection and in protection of personal data. In this paper, watermarks have been added to digital images by using discrete wavelet transform (DWT), discrete cosine transform (DCT) and singular value decomposition (SVD) methods, respectively. “Gaussian”, “shot”, “salt & pepper” and “speckle” noises are added to watermarked images, respectively. The original image and the watermark have been extracted from the watermarked image after adding noise. The original image and watermark have been re-extracted from the optimized watermarked image by using the bacterial foraging optimization (BFO) technique. In this step, the particle swarm optimization (PSO) algorithm has been used to set the best position of the chemotactic parameters of the BFO algorithm. The peak signal to noise ratio (PSNR), normalized cross correlation (NCC) and image fidelity (IF) values have been calculated and compared to see the success performance of watermarking techniques and optimization techniques.

show abstract

Efficient hybrid watermarking schemes for robust and secure 3D‐MVC communication

El‐Shafai

El-Rabaie

El-Halawany

et al. 2017

Int J Communication

View full text Add to dashboard Cite

Digital watermarking is a promising and efficient methodology for protecting the copyright of the transmitted multimedia data. Three-dimensional videos (3DVs) are transmitted and stored in the form of compressed information.Thus, there is a great need for compressed 3DV watermarking. This paper presents 2 proposed hybrid watermarking schemes for securing the 3DV transmission. The first watermarking scheme is the homomorphic transform-based singular value decomposition in discrete wavelet transform domain. The second scheme is the 3-level discrete stationary wavelet transform in discrete cosine transform domain. The objective of the 2 proposed hybrid watermarking schemes is to increase the immunity of the watermarked 3DV to attacks and achieve adequate perceptual quality. The performances of the 2 proposed hybrid watermarking schemes are compared with those of the state-of-the-art watermarking schemes. The comparisons depend on both of the subjective visual results and the objective results; the peak signal-to-noise ratios of the watermarked frames and the normalized correlation of the extracted watermark frames. Extensive simulation results on standard 3DV sequences have been conducted in the presence of attacks. The obtained results confirm that the 2 suggested hybrid watermarking schemes are robust in the presence of attacks. They achieve not only very good perceptual quality with appreciated peak signal-to-noise ratio values but also high correlation coefficient values in the presence of attacks. beneficial to ensure copyright. A digital watermark can be embedded either in a compressed video or uncompressed video. 2 Video information are always transported and stored in the form of compressed data. The uncompressed video watermarking schemes can also be used for the compressed-video bit streams; however, they require complete video re-encoding and decoding for the watermark insertion or extraction. In different cases, the complete video stream decoding process is not recommended. So, the compressed video watermarking has recently acquired more attentiveness. Furthermore, the watermark insertion and extraction in compressed data has less computations, because the complete reencoding and decoding of the transmitted stream is not required for embedding and extracting the watermark bits.Recently, several video encoding standards have emerged. The objective of an encoding standard is to achieve high data compression, while maintaining an acceptable quality. The 3D multiview video coding (3D-MVC) is an efficient one of the recent encoding standards used in different applications. The 3D-MVC has received a broad attentiveness, and it is expected to rapidly take place of traditional 2D video coding in numerous applications. 3 In the 3D-MVC system, the original 3D video (3DV) consisting of multiple video streams is taken for the same object by various cameras. Thus, to transport the 3DV over limited resources networks, a highly efficient compression standard must be applied, whilst preserving a high reception quality. ...

show abstract

A Comparative Study For Color Systems Used In The DCT-DWT Watermarking Algorithm

Cited by 10 publications

References 13 publications

Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM

Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM

Digital Image Watermarking with Hybrid Structure of DWT, DCT, SVD Techniques and The Optimization with BFO Algorithm

Efficient hybrid watermarking schemes for robust and secure 3D‐MVC communication

Contact Info

Product

Resources

About