An improved reversible data hiding algorithm based on modification of prediction errors

Jafar, Iyad F.; Hiary, Sawsan; Darabkh, Khalid A.

doi:10.1117/12.2064524

Cited by 9 publications

(8 citation statements)

References 8 publications

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“…In signal processing, a window function (also known as an apodization function or tapering function) is a mathematical function that is zerovalued outside of some chosen interval [45,48,49]. At this point, the output signal is processed through a hamming window which allows diminishing discontinuity of every frame at both ends by applying the following equation [34,62]:…”

Section: B) Modified Mel-frequency Cepstrum Coefficientsmentioning

confidence: 99%

An efficient speech recognition system for arm‐disabled students based on isolated words

Darabkh

Haddad

Sweidan

et al. 2017

Comp Applic In Engineering

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Over the previous decades, a need has emerged to empower human‐machine communication systems, which are essential to not only perform actions, but also obtain information especially in education applications. Moreover, any communication system has to introduce an efficient and easy way for interaction with a minimum possible error rate. The keyboard, mouse, trackball, touch‐screen, and joystick are all examples of tools which were built to provide mechanical human‐to‐machine interaction. However, a system with the ability to use oral speech, which is the natural form of communication between humans instead of mechanical communication systems, can be more practical for normal students and even a necessity for arm‐disabled students who cannot use their arms to handle traditional education tools like pens and notebooks. In this paper, we present a speech recognition system that allows arm‐disabled students to control computers by voice as a helping tool in the educational process. When a student speaks through a microphone, the speech is divided into isolated words which are compared with a predefined database of huge number of spoken words to find a match. After that, each recognized word is translated into its related tasks which will be performed by the computer like opening a teaching application or renaming a file. The speech recognition process discussed in this paper involves two separate approaches; the first approach is based on double thresholds voice activity detection and improved Mel‐frequency cepstral coefficients (MFCC), while the second approach is based on discrete wavelet transform along with modified MFCC algorithm. Utilizing the best values for all parameters in just mentioned techniques, our proposed system achieved a recognition rate of 98.7% using the first approach, and 98.86% using the second approach of which is better in ratio than the first one but slower in processing which is a critical point for a real time system. Both proposed approaches were compared with other relevant approaches and their recognition rates were noticeably higher.

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Section: B) Modified Mel-frequency Cepstrum Coefficientsmentioning

confidence: 99%

An efficient speech recognition system for arm‐disabled students based on isolated words

Darabkh

Haddad

Sweidan

et al. 2017

Comp Applic In Engineering

Self Cite

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“…As we mentioned earlier, most prediction-based RDH rely on the use of a single predictor to compute predictions that are used for data embedding. This may put a limitation on the prediction accuracy, since different predictors behave differently at the same pixel in the image [20,21] which consequently affects the embedding capacity and possibly the visual quality of the stego image.…”

Section: The Proposed Algorithmmentioning

confidence: 99%

Efficient Reversible Data Hiding Algorithms Based on Dual Prediction

Jaara¹,

Jafar²

2016

SIPIJ

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“…As far as the watermarking techniques are concerned, they can be classified into six different categories in accordance with the following [24][25][26]: robustness, reversibility, scope, symmetry, blindness, and domain. In robustness category and according to their resistance to natural noise and artificial modifications (attacks), the watermarking algorithms can be grouped as robust, semi-fragile, and fragile.…”

Section: Digital Watermarking: Classification Evaluation and Relatementioning

confidence: 99%

A New Image Steganographic Approach for Secure Communication Based on LSB Replacement Method

Darabkh¹,

Jafar

Al‐Zubi

et al. 2015

ITC

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With the development of internet technologies and communication services, message transmissions over the internet still have to face all kinds of security problems. Hence, how to protect secret messages during transmission becomes a challenging issue for most of current researchers. It is worth mentioning that many applications in computer science and other related fields rely on steganography and watermarking techniques to ensure information safety during communication. Unlike cryptography that focuses on scrambling the secret message so that it cannot be understood, the main objective of steganography and watermarking is to communicate securely in such a way that the hidden data are not visible to the observer. In other words, it seeks for the imperceptibility of stego-images quality to an unintended party through embedding efficiently the secret message in a digital media such as image, video, or audio. In this paper, we propose a new steganographic method to embed the secret data inside a cover image based on least-significant-bit (LSB) replacement method. The embedding process predominantly concentrates on distributing the secret message inside one share of a color image to appear like a 3D geometric shape that is constructed according to well-analyzed geometric equations. The dimensions of the geometric shape are determined pursuant to the size of secret message. Data distribution process makes our method to be of a great interest as of being so difficult for the hackers or intruders to reconstruct the shape from stego-images, thereby the security is improved. Furthermore, we compare the performance of our approach with two other relevant approaches in terms of peak signal-to-noise ratio (PSNR) and payload. The contribution of our approach was immensely impressive.

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An improved reversible data hiding algorithm based on modification of prediction errors

Cited by 9 publications

References 8 publications

An efficient speech recognition system for arm‐disabled students based on isolated words

An efficient speech recognition system for arm‐disabled students based on isolated words

Efficient Reversible Data Hiding Algorithms Based on Dual Prediction

A New Image Steganographic Approach for Secure Communication Based on LSB Replacement Method

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