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Digital image forensics with finite ridgelet transform

Digital image forensics with finite ridgelet transform

引用

IEEE signal processing and Communications applications (SIU)

作者： Levent Ozparlak Ismail Avcibas Elektrik-Elektronik Muhendisligi Bolumu Baskent Universitesi Ankara Turkey

With the use of advanced computer graphics rendering software, very successful photorealistic images can be generated. Therefore, it may be hard to discriminate the photographic images from the photorealistic ones. In this work, we propose to use the statistics obtained from the ridgelet transform to distinguish the photographic and photorealistic images. Experimental results show that the features obtained by using the ridgelet transform is relatively less complex and more successful for the classification from the ones obtained by using wavelet transform.

关键词： Digital images Forensics Model driven engineering Reactive power

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Digital Watermarking with copyright authentication for image communication

Digital Watermarking with copyright authentication for image...

引用

International conference on Intelligent Systems and signal processing (ISSP)

作者： Keta Raval Sameena Zafar Department of Electronics and Communication Patel Institute of Engineering and Science RGPV Bhopal Madhya Pradesh India

ISBN: (纸本)9781479903160

The advancing world of digital multimedia communication is faces problems related to security and authenticity of digital data. In the context of multimedia communication, digital images and videos have numerous applications in entertainment world like TV channel broadcasting. Digital Watermarking algorithms used to protect the copyright of digital images and to verify multimedia data security. Most watermarking algorithms transform the host image and embedding of the watermark information by robust way. Uncompressed digital images need a lot storage capacity and bandwidth so efficient image transmission need image compression. The solution is becoming more complex with the growth of data. We propose Digital Watermarking by proposed transform Algorithm based on DCT-DWT watermarking. By this method we can do secure image transmission.

关键词： Watermarking image coding Discrete cosine transforms Discrete wavelet transforms PSNR signal processing algorithms

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image compression techniques in Wireless Multimedia Sensor Networks

Image compression techniques in Wireless Multimedia Sensor N...

引用

IEEE signal processing and Communications applications (SIU)

作者： Arafat Şentürk Zehra Karapinar Resul Kara Bilgisayar Mühendisliği Bölümü Düzce Üniversitesi Düzce Türkiye

Wireless Multimedia Sensor Networks (WMSNs) provide realization of applications which is usable everywhere and address to many fields like mobile health care, environmental surveillance and traffic monitoring. Amount of data causes to traffic in memory resources, difficulties in operation, and excessive power consumption - which is the most important one- for every node while WMSNs transfer multimedia data during those applications. That kind of problems is vital for WMSNs which already have limited resources. image compression can be one of the effective solutions to overcome those problems. Thus, network lifetime of WMSNs can be increased significantly and the bandwidth can be used in a more effective manner. The main purpose of this study is to investigate image compression algorithms used for WMSNs in the literature in terms of their advantages and disadvantages after giving brief information about WMSNs.

关键词： image coding Wireless sensor networks Discrete cosine transforms Multimedia communication Transform coding Discrete wavelet transforms Algorithm design and analysis

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Watermarking via optimization algorithms for quantizing randomized image characteristics

Watermarking via optimization algorithms for quantizing rand...

引用

IEEE signal processing and Communications applications (SIU)

作者： M.K. Mihcak Cryptography and Anti-Piracy Group Microsoft Research Redmond WA USA

We introduce a novel approach for blind and semi-blind watermarking and apply it to images. We derive randomized robust semi-global features of images in a suitable transform domain (wavelets in case of images) and quantize them in order to embed the watermark. Quantization is carried out by embedding to the host a sequence computed by solving an optimization problem whose parameters are known to the information hider, but unknown to the attacker. We experimentally identify some conditions (our randomization is aimed at achieving them) satisfied by our parameters, which formally and experimentally imply the robustness of our algorithm against malicious optimal estimation attacks. Furthermore, we experimentally show the robustness of our algorithm against many generic benchmark attacks for a large number of images.

关键词： Watermarking Robustness Cryptography wavelet transforms wavelet domain Quantization Embedded computing Hip Structural beams

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A new combination of 1D and 2D filter banks for effective multiresolution image representation

A new combination of 1D and 2D filter banks for effective mu...

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IEEE International conference on image processing

作者： Yuichi Tanaka Masaaki Ikehara Truong Q. Nguyen Department of Electrical and Computer Engineering University of California San Diego La Jolla CA USA Department of Electronics and Electrical Engineering Keio University Yokohama Kanagawa Japan

In this paper, an effective multiresolution image representation using the combination of 2D quincunx filter bank (FB) and directional wavelet transform (WT) is presented. The proposed method yields simple implementation and low calculation costs compared to the other 1D and 2D FB combinations or adaptive directional WTs. Furthermore, it is a nonredundant transform and realizes quad-tree like multiresolution representation. In applications on nonlinear approximation and image coding, the proposed filter bank shows visual quality improvements and has higher PSNR.

关键词： Filter bank image resolution image representation image coding wavelet transforms Frequency signal resolution image reconstruction Laplace equations Computational efficiency

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Watermarking schemes to secure the face database and test images in a biometric system

Watermarking schemes to secure the face database and test im...

引用

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

作者： Himanshu Agarwal Balasubramanian Raman Pradeep K. Atrey Department of Mathematics Indian Institute of Technology Roorkee INDIA Department of Applied Computer Science The University of Winnipeg CANADA

This paper attempts to solve the integrity issues of a compromised face biometric system using two watermarking schemes. Two new blind watermarking schemes, namely S 1 and S 2 , are proposed to ensure the integrity of the training face database and of the test images, respectively. Scheme S 1 is fragile spatial-domain based and scheme S 2 works in the discrete cosine transformation (DCT) domain and is robust to channel noise. The novelty of S 1 lies in the fact that it is lossless and the ratio of watermark bits to the size of the host image is 2.67, while S 2 has better robustness than existing blind watermarking schemes. The performance of both schemes is evaluated on a subset of the Indian face database and the results show that both schemes verify the integrity with very high accuracy without affecting the performance of the biometric system.

关键词： Robustness Biomedical imaging Watermarking Discrete wavelet transforms Mel frequency cepstral coefficient Discrete cosine transforms

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Generalized coiflets: a new family of orthonormal wavelets

Generalized coiflets: a new family of orthonormal wavelets

引用

Asilomar conference on signals, Systems & Computers

作者： Dong Wei A.C. Bovik B.L. Evans Laboratory for Image and Video Engineering Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

We generalize an existing family of wavelets, coiflets, by replacing the zero-centered vanishing moment condition on scaling functions by a nonzero-centered one in order to obtain a novel class of compactly supported orthonormal wavelets (we call them generalized coiflets). This generalization offers an additional free parameter i.e., the center of mass of the scaling function, which can be tuned to obtain improved characteristics of the resulting wavelet system such as near-symmetry of the scaling functions and wavelets, near-linear phase of the filter banks, and sampling approximation properties. Therefore, these new wavelets are promising in a broad range of applications in signal processing and numerical analysis.

关键词： Finite impulse response filter Discrete wavelet transforms Sampling methods Laboratories signal sampling wavelet analysis signal processing Numerical analysis Filter bank Digital signal processing

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UNDECIMATED HIERARCHICAL ACTIVE CONTOURS FOR OCT image SEGMENTATION

UNDECIMATED HIERARCHICAL ACTIVE CONTOURS FOR OCT IMAGE SEGME...

引用

IEEE International conference on image processing

作者： Ahmed Gawish Paul Fieguth Sebastian Marschall Kostadinka Bizheva Vision and Image Processing (VIP) Lab Dept. of Systems Design Engineering University of Waterloo Dept. of Physics and Astronomy University of Waterloo

ISBN: (纸本)9781479957521

A limitation of Optical Coherence Tomography (OCT) image segmentation is the poor signal-to-noise ratio of the imaging process, particularly because images are sampled quickly, at high resolutions, and in-vivo. Furthermore, speckle noise is generated by the reflections of the OCT LASER. Because OCT is widely used in imaging the cornea, retina, and skin, OCT layer segmentation is of key interest in all applications. In this paper, a multi-resolution parametric active contour is used for OCT segmentation. The proposed method uses an undecimated wavelet transform to obtain scale-dependent noise reduction, while the active contour is initialized with a generalized Hough transform. Experimental results show that the proposed method outperforms classical as well as state-of-the-art methods and segments OCT images with high level of accuracy.

关键词： Undecimated wavelet transform Optical coherence tomography Active contours Hough transform

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Compressive sensing in through-the-wall radar imaging

Compressive sensing in through-the-wall radar imaging

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Michael Leigsnering Christian Debes Abdelhak M. Zoubir Signal Processing Group Technische Universität Darmstadt Darmstadt Germany

High resolution through-the-wall radar imaging (TTWRI) demands wideband signals and large array apertures. Thus a vast amount of measurements is needed for a detailed reconstruction of the scene of interest. For practical TTWRI systems it is imperative to reduce the number of samples to cut down on hardware cost and/or acquisition time. This can be achieved by employing compressive sensing (CS). Existing approaches imply a point target assumption, which may not hold in practical applications. We apply a novel CS approach for TTWRI using the 2D discrete wavelet transform to sparsify images. In this fashion, we overcome the above stated limitation and are able to deal with extended targets. Experimental results show that high image qualities are obtained, similar to images generated using the full measurement set.

关键词： Arrays Radar imaging Discrete wavelet transforms Compressed sensing Array signal processing Equations Wideband

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A new video coder based on second generation wavelets

A new video coder based on second generation wavelets

引用

IEEE International conference on image processing

作者： S. Brangoulo P. Gioia N. Laurent J. Fournier France Telecom R&D Beijing France France Telecom R&D Cesson-Sévigné Cedex France

We consider a new way to encode video sequences. The proposed method is based on second generation wavelets (SOW), a novel mathematic transform, successfully applied in 3D coding. This video coder is created by combining the wavelet theory and mesh geometry. With this and the SOW, we will be able to apply onto the video image, the mathematical transform to locate and to encode the error, results of the motion compensation process. This powerful signal processing theory allows a very well adapted coding of high frequencies. The main advantage is that these wavelets can be designed to fit exactly on singularities, shapes, textures, and edges. Hence, we can reduce redundancy and improve considerably coding efficiency over those peculiar settings. This new coder can be applied on all classical applications, such as very low bit rate transmissions, video streaming, vision conference and video on demand.

关键词： Video sequences Mathematics wavelet transforms Geometry Motion compensation Video signal processing Frequency Shape Redundancy Bit rate

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