Synopsis Report

Chapters:

  1. Title of Dissertation
  2. Introduction and Motivation
  3. Brief Review of Research Papers
  4. Research gaps found
  5. Proposed Problem Statement
  6. Proposed Work:

6.1Work done so far

6.2Work to be done

7. Implementation Time Chart

8. References

TITLE OF DISSERTATION

AN EFFECTIVE AUDIO WATERMARKING USING FAST FOURIER TRANSFORM & ITS ROLE IN NOISE REDUCTION OCCURS DUE TO WATERMARK TEXT

ABSTRACT

Information hiding is a very old art. By the sixteenth and seventeenth centuries itself the technology of hiding information was existed. And now days as increase in technology need for safety and security is raised. Digital watermarking is the process of embedding information into a digital signal in a way that is difficult to remove. The signal may be audio, pictures or video, for example. If the signal is copied, then the information is also carried in the copy. A signal may carry several different watermarks at the same time.

Audio watermarking refers to applying watermarking on audio signals. The knowledge of the human auditory system i.e. psychoacoustics is of great importance in audio watermarking. This aspect of audio watermarking necessitates it to be treated as a separate topic.

INTRODUCTION

As digital multimedia works (video, audio and images) become available for retransmission, reproduction, and publishing over the Internet, a real need for protection against unauthorized copy and distribution is increased. These concerns motivate researchers to find ways to forbid copyright violation. The most promising solution for this challenging problem seems to lie in information hiding techniques. Information hiding is the process of embedding a message into digital media. The embedded message should be imperceptible; in addition to that the fidelity of digital media must be maintained.The need for watermarking arises because of the inherent ease with which digital data can be copied and manipulated. Digital watermarking finds application in areas like copyrighting of information, authentication of data, tracing of illegal copies etc.

Audio watermarking refers to applying watermarking on audio signals. The knowledge of the human auditory system i.e. psychoacoustics is of great importance in audio watermarking. This aspect of audio watermarking necessitates it to be treated as a separate topic. Current watermarking techniques are mainly concerned with spread spectrum type of watermarking.

REQUIREMENTS OF A WATERMARKING SYSTEM

In ideal watermarking system should have the following characteristics?

1 The watermark should be embedded in the host audio material itself, not in any syntactically identifiable part of the audio material (e.g. header). Else, the watermark can be easily removed or manipulated using purely syntax-based schemes.

2 The perceived quality of the watermarked signal should not deteriorate, from that of the host.

3 Any audio player, that can play the host signal, should be able to play the watermarked signal as well.

4 The scheme should ensure that there would be no miss (watermark is not detected when there is one) and no false alarm (a watermark is detected when there is none).

5 The scheme should ensure that there would be no false alarm across watermarks. That is, when tested for a watermark different from the one that is embedded in the signal, the detector must give a negative answer.

6 The watermarking should be robust to normal signal processing operations on the signal like scaling, translation, spectral filtering, compression and decompression chains, and D/A-A/D conversion chains.

7 Further, some degree of robustness to intentional tampering is also expected. Such attacks, if successful in tampering the WM, should also tamper the signal so that the quality is deteriorated to render the audio material useless.

PROPOSED PROBLEM STATEMENT:

Main problem statement for this project is to suppress the noise level and to remove the noise while embedding and extracting the watermark text into audio in wav form.

AUDIO WATERMARKING OBJECTIVE:

Digital data, either audio or visual are represented by binary bits of 0 or 1. They can simultaneously be shared by myriad of users by distributing the same over the network and can be stored for long period without being damaged. Because of public exposure, the propriety of the data can be hijacked unethically by a number of ways such as re-sampling, mp3 compression, low-pass filtering, and amplitude scaling. A new technique called audio watermarking protects the copyright interest with regard to audio data.

BRIEF REVIEW OF RESEARCH PAPERS

Existing methods of audio watermarking

ECHO HIDING

Echoes of the signal are generated, scaled and added to the host signal. The position of the echoes is determined by the copyright information being added. The echoes must be placed in the coloration region and hence psychoacoustics is made use of. The echo data hiding technique relies on distorting an audio signal in a way which is perceptually dismissed by the human auditory system as environmental distortion. The original audio signal is copied into two segments (kernels), one which leads the original signal in time, and one which lags. Each kernel represents either a zero or a one bit for watermark data transmission. The bit stream of watermark data is used to mix the two kernels together. The signals are mixed with gradually sloped

Block diagram Echo Watermarking

Quantization Index Modulation

The host signal is quantized using a quantizes from an ensemble of quantizes. Each user can be assigned a different quantizes. The reconstruction points are used to decode the watermark.

Feature Based Watermarking Technique

Certain features of the audio signal are imperceivably modified to embed the watermark. Time scale modification is one such technique. In this the distance between the silent points in the host audio is slightly modulated with watermark.

Spread Spectrum Based Watermarking

This watermarking technique relies on direct sequence spread spectrum (DSSS) to spread the watermarked signal over the entire audible frequency spectrum such that it approximates white noise, at a power level as to be inaudible. A pseudorandom sequence (chip) is used to modulate a carrier wave which creates the spread signal watermark code. This code is attenuated to a level roughly equal to 0.5% of the dynamic range of the original audio file, before being mixed with the original.

In spread spectrum watermarking, copyright information is modulated using pseudo random digital sequence. This is equivalent to spreading the information in the frequency domain. Hence the name. This modulated sequence is then added to the audio signal at an imperceptibly small strength to generate the watermarked signal.

RESEARCH GAPS FOUND

Many number of research has done over digital watermarking means many ways are done using different watermarking technique of embedding watermark into digital audio but few of the work have introduced for noise level suppression or noise reduction while embedding or extraction.

PROPOSED WORK:

THE WATERMARK EMBEDDING SCHEME

The block diagram of the watermark embedding

The watermark embedding scheme modifies the original audio signal, which is represented as a 16-bit sample sequence sampled at 44100 Hz mono.A diagram of audio watermark embedding scheme is shown in Fig. Using the concept of the psychoacoustic model and DSSS method, our watermark embedding works as follows:

 Calculate the masking threshold of the current analysis audio frame using the psychoacoustic model with an analysis audio total frame size of samples.

 Generate the watermark with using the encoder. The input text message is converted to binary. The watermark is applied to input of the binary encoder, the output of the encoder is a row vector of the binary representation of the text.

 Using the masking threshold, shape the watermark signal to be imperceptible in the frequency domain.

 Compute the inverse FFT of the shaped watermark signal.

 Create the final watermarked audio signal by adding the watermark signal to the original audio signal in the time domain.

The watermark embedding scheme consists of the following operations.

1. Temporal analysis of the audio signal.

2. M sequence generation

3. Shaping of the m sequence.

4. Cyclic shifting and inclusion of the information payload.

5. Watermark embedding

WATERMARK EXTRACTION

IMPLEMENTATION TIME CHART

Month / Work
August, 2017 / Studied various International journals publications to decide the area.
Sept, 2017 / Topic decided
Sept, 2017 / Topic Extended to analysis
Oct, 2017 / First presentation of area of work
Jan, 2017 / Proposed coding completion
Jan-Feb,2017 / Proposed time of validation completion
Feb, 2017 / Proposed time of testing project
May, 2017 / Proposed final submission to HOD

REFERENCES

[1]. Parminder Singh* et al. / (IJAEST) INTERNATIONAL JOURNAL OF ADVANCED ENGINEERING SCIENCES AND TECHNOLOGIES Vol No. 9, Issue No. 1, 066 - 068

[2]. MIKDAM A. T. ALSALAMI* and MARWAN M. AL-AKAIDI, Computer Science Dept. – Zarka Private University, Jordan School of Engineering and Technology - De Montfort University, UK

[3]. Pranab Kumar Dhar*, Jong-Myon Kim1** Digital Watermarking Scheme Based on Fast Fourier Transformation for Audio Copyright Protection , International Journal of Security and Its Applications Vol. 5 No. 2, April, 2011

[4]. Dhruv Arya, A Survey of Frequency and Wavelet DomainDigital Watermarking Techniques, International Journal of Scientific & Engineering Research, Volume 1, Issue 2, November-2010 1ISSN 2229-5518

[5]. Mrs.B.Geetha Vani1Dr.E.V.Prasad2Mrs.B.Vijaya3 Ms.K.Nadhiya Rani4, AN EFFECTIVE SPREAD SPECTRUM AUDIO WATERMARKING USINGPSYCHOACOUSTIC MODEL, International Conference on Computing and Control Engineering (ICCCE 2017), 12 & 13 April, 2017.

[6]. Mrs. Mangal V. Patil Prof. Dr. J.S. Chitode, Audio Watermarking: A Way to Copyright Protection, International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 1 Issue 6, August – 2017

[7]. Ms. Komal V. Goenka1, Ms. Pallavi K. Patil2 , Overview of Audio Watermarking Techniques , International Journal of Emerging Technology and Advanced Engineering Website: (ISSN 2250-2459, Volume 2, Issue 2, February 2017)

[8]. Wahid Barkouti1, Lotfi Salhi1 and Adnan Chérif1, DIGITAL AUDIO WATERMARKING USING PSYCHOACOUSTIC MODEL AND CDMA MODULATION, Signal & Image Processing : An International Journal (SIPIJ) Vol.2, No.2, June 2011.

[9]. Arnold M. 2000, “Audio Watermarking:Features, Applications and Algorithms”.Multimedia and Expo. IEEE international Conf., Vol. 2, pp. 1013-1016