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Watermarking Using Multiresolution Cosine Transformation: A Review

Watermarking Using Multiresolution Cosine Transformation: A ...

引用

International conference on signal processing, image processing and Pattern Recognition (SIP 2011)

作者： Bhattacharyya, Debnath Kim, Tai-hoon Lee, Gang-soo Univ Tasmania GVSA Hobart Tas 7001 Australia MCKV Inst Engn Dept Informat Technol Liluah 711204 Howrah India Hannam Univ Dept Commun Engn Daejeon South Korea

ISBN: (纸本)9783642271823

In this paper, an image accreditation technique by embedding digital watermarks in images is proposed. The proposed method for the digital watermarking is based on the cosine transform. This is unlike most previous work, which used a random number of a sequence of bits as a watermark and where the watermark can only be detected by comparing an experimental threshold value to determine whether a sequence of random signals is the watermark. The proposed approach embeds a watermark with visual recognizable patterns, such as binary, gray. or color image in images by modifying the frequency part of the images. This thesis discusses the issues regarding data hiding and its application to multimedia digital information have also daily lives of the peoples in this security and communication, addressing both theoretical and practical aspects, and tackling both design and attack problems. Data hiding is modeled as a communication problem where the embedded data is the signal to be transmitted. Various embedding mechanisms target different robustness-capacity tradeoffs. The trade-off for different major categories of embedding mechanisms has been done. In this approach. an original image is decomposed into wavelet coefficients. Then, multi-energy watermarking scheme based on the qualified significant wavelet tree (QSWT) is used to achieve the robustness of the watermarking. Unlike other watermarking techniques that use a single casting energy. QSWT adopts adaptive casting energy in different resolutions. The performance of the proposed watermarking is robust to a variety of signal distortions, such as JPEG, image cropping, sharpening, median filtering, and incorporating *** algorithms are covering applications such as annotation, tamper detection, copy/access control, fingerprinting, and ownership protection.

关键词： image authentication watermark security private key public key

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Adaptive enhancement of platforms above sea-level in infrared images based on clustering of wavelet coefficients

Adaptive enhancement of platforms above sea-level in infrare...

引用

2011 IEEE 19th signal processing and Communications applications conference, SIU 2011

作者： Onur Karali, A. Erman Okman, O. Aytaç, Tayfun TÜBITAK BILGEM UEKAE/ILTAREN Şehit Yzb. Ihan Tan Kişlasi 2432. cad. 2489. sok. 06800 Ümitkoy Ankara Turkey Elektrik-Elektronik Mühendisliǧi Bölümü ODTÜ Inönü Blv. 06531 Ankara Turkey

ISBN: (纸本)9781457704635

This study proposes an adaptive infrared image enhancement technique for platforms above sea-level based on clustering of wavelet coefficients. Feature vectors constructed from subband images are computed using discrete wavelet transform and similar feature vectors are grouped using clustering operation. Depending on the feature vectors, a weight is assigned to each cluster and these weights are used to compute gain matrices used to multiply wavelet coefficients for the enhancement of the original image. In the paper, enhancement results are presented and a comparison of the performance of the proposed algorithm is given through subjective tests with other well known frequency and histogram based enhancement techniques. The proposed algorithm outperforms previous ones in the truthfulness, detail visibility of the target, artificiality, and total quality criteria, while providing an acceptable computational load. © 2011 IEEE.

关键词： Sea level

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SPA 2011 - signal processing: Algorithms, Architectures, Arrangements, and applications - conference Proceedings

SPA 2011 - Signal Processing: Algorithms, Architectures, Arr...

引用

IEEE conference on signal processing: Algorithms, Architectures, Arrangements, and applications, SPA 2011

ISBN: (纸本)9781457714863

The proceedings contain 33 papers. The topics discussed include: reversible computation, a quantum-inspired low-consumption viable technology?;compressive sensing matrix designed by tent map, for secure data transmission;calculating virtual focal planes for TDI-imaging;implementing polynomial expressions by means of reciprocal-function-based neural networks;gain correction for nearly optimal variable fractional sample delay filter design;experimental study on the discrete trigonometric transform (DTT) wavelet-like decomposition stage with windowed filters;the impact of segmentation on face recognition using the principal component analysis (PCA);parallel digital image processor implemented in FPGA technology;3D graphic engine for medical images transformation and manipulation;and dependability and life time enhancements for nano-electronic systems.

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A MixIST image restoration algorithm based on IST

A MixIST image restoration algorithm based on IST

引用

4th International conference on the applications of Digital Information and Web Technologies, ICADIWT 2011

作者： Huang, Minghu Cao, Hanqiang Department of Electronics and Information Engineering Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424498246

Iterative Shrinkage Thresholding (IST) algorithm has been becoming popular in image restoration as well as signal processing communities. Analysis and experiments expose the low efficiency and poor robustness of IST. In the paper, we devised a Mixed Iterative Shrinkage Thresholding (MixIST) algorithm which bears more robustness, higher efficiency and better efficacy. By the power of two step iteration, advanced pre-filtering, better shrinkage methods, unbiased thresholding and the increased detail information of the original image by redundant wavelets, MixIST achieve a further improvement of the quality of restored image. In order to show the actual performance of MixIST, results from experiments on image restoration as well as comparisons with other algorithms are demonstrated. © 2011 IEEE.

关键词： wavelet transforms

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Design and implementation of real-time image watermarking

Design and implementation of real-time image watermarking

引用

2011 IEEE International conference on signal processing, Communications and Computing, ICSPCC 2011

作者： Joshi, Amit M Darji, Anand Mishra, Vivekanand Electronics Department SVNIT Surat India

ISBN: (纸本)9781457708947

The digital watermarking is a multimedia technology for information hiding which provides the authentication and copyright protection. The digital images are easily exchanged through internet and threaten to some malicious attacks. wavelet based frequency domain watermarking provides the robustness against different attacks. Bit plane slicing scheme of spatial domain watermarking provides lesser computational complexity suitable for real time implementation. We combine advantages of the both the domains for the proposed algorithm. We have developed algorithm for robust and invisible application where we used non blind detection scheme. This approach is also implemented on FPGA. Several software implementations of the watermarking algorithms are available, but very few attempts have been made for hardware implementations. Software based watermarking schemes are more prone to offline attacks due to the delay between image captured and embedding the watermark. Hardware based watermarking provides real time embedding process where watermark is embedded at the same time when image is captured. This is very much useful in applications like real-time broad casting, video authentication and secure camera system for courtroom evidence. The goal of hardware implementation is to achieve low-power, high-performance, real-time, reliable and secure watermarking systems using FPGA. © 2011 IEEE.

关键词： Discrete wavelet transforms

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A robust algorithm for enhancement of remotely sensed images based on wavelet transform

A robust algorithm for enhancement of remotely sensed images...

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6th International conference on Soft Computing Models in Industrial and Environmental applications, SOCO 2011

作者： Nasr, A.A. Darwish, Ashraf Sadek, Rowayda A. Saad, Omar M. Computer Science Department Helwan University Cairo Egypt

ISBN: (纸本)9783642196430

In the field of remote sensing, removing noise from images is still a challenging research in image processing. Generally there is no common enhancement approach for noise reduction. Several approaches have been introduced and each has its own assumption, advantages and disadvantages. The speckle noise is usually found in the remote sensing images. This paper proposes an adaptive threshold method for image despeckling based on wavelet transform. The quality of the enhanced images in this paper is measured by the statistical quantity measures: Peak signal-to-Noise Ratio (PSNR), and Mean Square Error (MSE). Experimental results showed that the proposed method demonstrates an improved denoising performance over related techniques according to increasing of PSNR values and decreasing of MSE values of enhanced images. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： image enhancement

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image denoising based on laplace distributionwith local parameters in lapped transform domain

Image denoising based on laplace distributionwith local para...

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作者： Nath, Vijay Kumar Mahanta, Anil Department of Electrical and Electronics Engineering Indian Institute of Technology Guwahati Guwahati Assam India

ISBN: (纸本)9789898425720

In this paper, we present a new image denoising method based on statistical modeling of Lapped Transform (LT) coefficients. The lapped transform coefficients are first rearranged into wavelet like structure, then the rearranged coefficient subband statistics are modeled in a similar way like wavelet coefficients. We propose to model the rearranged LT coefficients in a subband using Laplace probability density function (pdf) with local variance. This simple distribution is well able to model the locality and the heavy tailed property of lapped transform coefficients. A maximum a posteriori (MAP) estimator using the Laplace probability density function (pdf) with local variance is used for the estimation of noise free lapped transform coefficients. Experimental results show that the proposed low complexity image denoising method outperforms several wavelet based image denoising techniques and also outperforms two existing LT based image denoising schemes. Our main contribution in this paper is to use the local Laplace prior for statistical modeling of LT coefficients and to use MAP estimation procedure with this proposed prior to restore the noisy image LT coefficients.

关键词： image denoising

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Proceedings of the IASTED International conference on Artificial Intelligence and Soft Computing, ASC 2011

Proceedings of the IASTED International Conference on Artifi...

引用

14th IASTED International conference on Artificial Intelligence and Soft Computing, ASC 2011

ISBN: (纸本)9780889868946

The proceedings contain 18 papers. The topics discussed include: an estimation of nonlinearity measures for the EEG of schizophrenia patients in emotional states;computer assisted diagnose of intra pleural lung nodules using non-parametric classifiers;implementation of a 3D renal calculus tracking system for extracorporeal shock wave lithotripsy;signal analysis in a new optical pulse waveform profiler for cardiovascular applications;adaptive neuro-fuzzy inference system in structural damage assessment;application of RMR method for noise prediction on Latvian railway;design of speaker independent Turkish speech control system in noisy vehicle environment;estimation of a sound image flow using a moving image processing technique;modulation domain adaptive gain equalizer for speech enhancement;a novel adaptive audio watermarking using a random wavelet packet tree and singular value decomposition;and face detection using color based skin localization and facial features extraction.

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ADAPTIVE wavelet image DECOMPOSITION USING LAD CRITERION

ADAPTIVE WAVELET IMAGE DECOMPOSITION USING LAD CRITERION

引用

European signal processing conference

作者： Ana Soviv Damir Sersic Faculty of Electrical Engineering and Computing University of Zagreb

In this paper, an adaptive separable 2D wavelet transform is proposed. wavelet transforms are widely used in signal and image processing due to its energy compaction property. Sparser representation corresponds to better performance in compression, denoising, compressive sensing, sparse component analysis and many other applications. The proposed scheme results in more compact representation then fixed wavelet. Instead of the commonly used least squares criterion, least absolute deviation (LAD) is introduced. It results in more accurate adaptation resistant to outliers. The advantages of the proposed method have been shown on synthetic and real-world images.

关键词： wavelet transforms Filter banks Polynomials image edge detection image segmentation Compressed sensing

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Pattern recognition for insect behavior by wrapper approach to subset selection of wavelet-multifractal attributes

Pattern recognition for insect behavior by wrapper approach ...

引用

IEEE International conference on signal and image processing applications (ICSIPA)

作者： Lúcio André de Castro Jorge Valentin Obac Roda Adolfo Nicolas Posadas Durand Embrapa Agricultural Instrumentation CNPDIA-EMBRAPA Sao Carlos Sao Paulo Brazil Engenharia Elétrica-DEE Universidade Federal do Rio Grande do Norte UFRN Natal Rio Grande do Norte Brazil CIP-CGIAR International Center of La Papa Lima Peru

The goal of this paper was to apply data mining subset selection techniques and wavelet-multifractal to describe insect behavior. It was proposed wavelet modulus maxima to extract multifractal parameters of sound attributes for pattern recognition of an insect behavior. Wrapper data mining approach was used to select relevant attributes. It has been found that, in general, wavelet-multifractal-based schemes perform better for sound, particularly in terms of minimizing noise distortion influence. The results from wavelet-multifractal-based method can also be improved by applying different mother wavelets; however, these schemes often have greater set-up requirements.

关键词： Fractals Insects Classification algorithms Equations wavelet transforms Entropy Machine learning algorithms

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