Hiding (1-8) Multimedia Files in One Color Image

Shehab, Jinan N.

doi:10.24237/djes.2017.10305

Cited by 6 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A principal algorithm for LSB replacement is to take the first M cover pixels where M is the total length of the secret message for image where M=R×C (where R row and C column numbers in secret image) that is to be embedded in bits. After that every pixel's last bit in cover image will be substituted by one of the message bits [8].…”

Section: Least Significant Bit Substitution Methodsmentioning

confidence: 99%

Hiding 9 Gray Images In RGB Image and Using Filters For Noise Removing

Hatem¹

2018

ETJ

View full text Add to dashboard Cite

This paper shows two major techniques, the first is steganography and the second is filters. Gaussian and median filters are used to enhance the quality of image and remove the noise. Two kinds of noise are added to RGB cover image. RGB cover image are divided in to three cover images RGB. The hiding algorithm is Least Significant Bits (LSB) which is used to hide three different images in each part of noisy cover image. The results of proposed system show that the ability of extracting secret message without errors. Normalized Correlation (NC) and Peak Signal to Noise Ratio (PSNR) tests are utilized to find the robustness of the proposed system. The simulation results of this work are performed by Matlab program.

show abstract

Section: Least Significant Bit Substitution Methodsmentioning

confidence: 99%

Hiding 9 Gray Images In RGB Image and Using Filters For Noise Removing

Hatem¹

2018

ETJ

View full text Add to dashboard Cite

show abstract

“…Hence, if the results display that there are no differences between the histogram of the transmitted image and reconstructed image meaning that the new examined system could survive from the attackers. Figure 8 represented the histogram of transmitted and reconstructed of image for different values of SNR [27], [28].…”

Section: Histogram Analysismentioning

confidence: 99%

New 2-D interleaving grouping LBC applied on image transmission

Mohamed

Al-Sultani

Hatem

2021

IJECE

View full text Add to dashboard Cite

The modern technologies of the image transmission look for ultra-reducing of the error transmission in addition to enhancing the security over a wireless communication channel. This paper is applied and discussed two different techniques to achieve these requirements, which are linear block code (LBC) and two-dimensions (2-D) interleaving approach. We investigate a new approach of 2-D interleaving that increases the security of the image transmission and helps to diminution the bit error probability (BER). Using an investigated 2-D interleaving grouping LBC approach on image transmission, the system achieves a higher-security information and a better BER comparing with the other systems. It was done by means of peak signal to noise ratio (PSNR) and histogram analysis tests. Simulation results state these enhancements.

show abstract

“…Mostly with advancement of technology, fresh demands for information transfer have constituted an unusual challenge for the cutting-edge cell infrastructure. Aside from the standard telecom advantages of cell phones, the current new generation, fifth generation (5G) [1], project is likely to strengthen traffic load that are in particular distinct from the previous counterparts, for illustration, machine type communication (MTC), internet of things (IoT), which seems to be using really quite tiny information transmission as discussed in [2] besides the streaming of different multimedia information [3]. Using adjustable waveforms is a crucial process for dealing with the upcoming challenges, which are shown by Banelli et al [4].…”

Section: Introductionmentioning

confidence: 99%

Enhanced 5G contender based flat top weighted window communication systems

Mahmood

Hammadi

2022

Bulletin EEI

View full text Add to dashboard Cite

To create a new transmission phenomenon, the availability of good data rates, the development of the internet of things (IoT), and different machine type communications (MTC) developed the ability to converse without synchronization, or the need for routing overhead in the form of synchronization overhead, while using mixed legacy fourth generation (4G) systems, based on orthogonal frequency division multiplexing, cannot meet these requirements (OFDM). Many waveform alternatives for OFDM have been proposed, including FBMC, GFDM, UFMC, and filtering-OFDM, in order to meet the criteria of the next generation system F-OFDM. As a consequence, a revolutionary filter based on a flat top weighted window is described in this work, where simulation results indicate that the suggested method outperforms prior designs in regard to spectral adeptness increased substantially acrros the deminish in the required side-information as overhead of the synchronization process. The trasitional F-OFDM uses root-raised-cosine filter. However, in this paper, novel filter design was proposed, whis is simple and real-time construction capability. This new filter is built around legacy filters, where the new filter is a combination of different filters to make use of various advantages of the old filters and get rid of the disadvangages. The power spectral density (PSD), -157.2 dBW/Hz, which is outstanding CP-OFDM-PSD, -50 dBW/Hz.

show abstract

Hiding (1-8) Multimedia Files in One Color Image

Cited by 6 publications

References 0 publications

Hiding 9 Gray Images In RGB Image and Using Filters For Noise Removing

Hiding 9 Gray Images In RGB Image and Using Filters For Noise Removing

New 2-D interleaving grouping LBC applied on image transmission

Enhanced 5G contender based flat top weighted window communication systems

Contact Info

Product

Resources

About