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Digital image forensics using wavelet based image models

Digital image forensics using wavelet based image models

引用

IEEE signal processing and Communications applications (SIU)

作者： Levent Özparlak İsmail Avcıbaş Elektrik-Elektronik Mühendisliği Bölümü Başkent Üniversitesi Turkey

The technologies making possible to change even the content of the digital media are developing fast. The demand for the development of mathematical and computational algorithms to determine the modifications on digital media has arisen and the studies in this area are gaining speed by the day. In this paper, we propose new statistical modeI for wavelet based transforms and try to differentiate between paintings of painters and images taken from different digital cameras. Experimental results show that the features obtained from ridgelet and contourlet transforms are more successful than the wavelet based features in differentiating these images.

关键词： Earth Observing System signal processing conferences Media Transforms System-on-a-chip Silicon carbide

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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

IEEE signal processing and Communications applications (SIU)

作者： A. Onur Karalı O. Erman Okman Tayfun Aytaç TÜBİTAK BİLGEM UEKAE/İLTAREN Ankara Turkey Elektrik-Elektronik Mühendisliği Bölümü O.D.T.Ü Ankara Turkey

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.

关键词： IP networks conferences signal processing Histograms image enhancement wavelet transforms Optimized production technology

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Multi-color ULBP with wavelet transform in invariant pose face recognition

Multi-color ULBP with wavelet transform in invariant pose fa...

引用

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

作者： Seyed Omid Shahdi S. A. R. Abu-Bakar Computer Vision Video and Image Processing (CvviP) Research Lab Faculty of Electrical Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia

Variation in pose is one of the main obstacles confronting researchers in the area of face recognition. In this paper, a novel method is proposed to explicitly tackle this problem. Multi-color uniform local binary pattern (ULBP) is introduced for extracting salient features along with wavelet transform. Learning scheme is adopted to obtain a mapping coefficient vector between face in a pose and frontal face. Then expected frontal face view vector could be generated by inserting the posed face. Instead of using the entire face, some of its important regions are taken into account. The proposed method relies only on single frontal face image as a gallery image. Results have demonstrated that the proposed method operates well even under the low-resolution conditions.

关键词： Face Vectors Face recognition Feature extraction wavelet transforms conferences

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Watermarking security analysis based on information theory

Watermarking security analysis based on information theory

引用

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

作者： Amir Reza Fazli Mohammad Eghbali Asli Kamran Ghasedi Hossein Sabz ali Zanjankhah Department of Electrical Engineering Sadjad Institute of Higher Educations Mashhad Iran

This paper presents a theoretical analysis of security proposed by watermarking methods based on wavelet transform. In this paper, security is quantified from an information theory point of view via the equivocation and mutual information between parameters that must be kept secret and the parameters made publicly available by watermarker. The main idea is that the information theory tools are used to estimate the measure of information leakage for a variety of scenarios. Furthermore, the experimental results demonstrate the trade off between different properties of watermarking such as: security, robustness and imperceptibility. This analysis is applied to a multiresolution wavelet based watermarking technique which is named QSWT. The authors also search for parameters that consist of threshold value T and the number of QSWT coefficients to improve the visual quality of watermarked image and robustness of watermark.

关键词： Watermarking Robustness Information theory conferences wavelet transforms PSNR

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A new filter bank algorithm for enhancement of early signs of ischemic stroke in brain CT images

A new filter bank algorithm for enhancement of early signs o...

引用

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

作者： Mehdi Sajjadi Rassoul Amirfattahi Mohammad Reza Ahmadzadeh Mohammad Ali Saghafi Digital Signal Processing Research Lab Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan Iran Smart Engineering System Research Group Department of Electrical Electronics & System Engineering University Kebangsaan Malaysia Bangi Selangor Darul Ehsan Malaysia

Brain CT images are very useful in diagnosis of cerebrovascular accidents (CVA). These images contain too many information. But most of the times, provided information is contaminated by noise and suffer from poor contrast. On the other hand, there are certain parts of the brain image that is really important to radiologist, while other image details are more or less confusing. This sparks the need for customized enhancement of brain CT images. Translation-invariant wavelet transform is being widely used in most of image processing tasks including image enhancement. This transform is calculated with a filter bank algorithm, called algorithme àtrous. In this paper we propose a filter bank structure similar to algorithme àtrous. This structure is more redundant and offers greater selectivity and flexibility to enhance desired features of brain CT images.

关键词： Computed tomography wavelet transforms image edge detection Lesions image enhancement

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Memory efficient and low power vlsi architecture for 2-d lifting based dwt with dual data scan technique

Memory efficient and low power vlsi architecture for 2-d lif...

引用

15th WSEAS International conference on Circuits, Part of the 15th WSEAS CSCC Multiconference, 5th International conference on Circuits, Systems and signals, CSS'11

作者： Darji, A.D. Chandorkar, A.N. Merchant, S.N. Indian Institute of Technology Bombay 4300076 India S.V.National Institute of Technology Surat 395007 India Electrical Engineering Department Indian Institute of Technology Bombay Powai India

ISBN: (纸本)9781618040176

The lifting scheme reduces the computational complexity for computing Discrete wavelet Transform (DWT) compared to convolution. 2-D DWT is widely used frequency domain transform for various multimedia applications. Due to battery operated handheld devices for multimedia application need is arise to design low power yet high speed and area efficient chip for 2-D DWT. We have proposed a high performance and memory efficient architecture with parallel scanning method for 2- D DWT using 5/3 Lifting wavelet and done chip level implementation using 180nm UMC standard cell library. This architecture is composed with two 1-D DWT units and a Transpose Unit (TU). Proposed parallel scanning reduces not only of on-chip line buffer but enhances through put as well compared to other line based scanning. Proposed 2-D DWT architecture utilizes only 2N size buffer for NxN sized image, which is low compare to 3.5N usual requirement for to implement 5/3 Lifting wavelet. Designed TU operates at half clock rate which reduces power and its design is independent of size of input image. Instead of shifter we propose Hardwired Scaling Unit (HSU) for coefficient multiplication in order to save dynamic power. This architecture is first synthesized using Xilinx ISE 10.1 and is implemented on Virtex-IIPRO XC2VP30 FPGA and then compile RTL with UMC 180 nm standard cell library for ASIC (Application Specific Integrated Circuit) implementation. This design is compared for power, speed and area with existed architectures.

关键词： Discrete wavelet transforms

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image DENOISING BASED ON LAPLACE DISTRIBUTION WITH LOCAL PARAMETERS IN LAPPED TRANSFORM DOMAIN

IMAGE DENOISING BASED ON LAPLACE DISTRIBUTION WITH LOCAL PAR...

引用

International conference on signal processing and Multimedia applications

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

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： Lapped transform image denoising MAP estimator Laplace distribution Statistical modeling

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Illumination compensation by using singular value decomposition and discrete wavelet transform

Illumination compensation by using singular value decomposit...

引用

IEEE signal processing and Communications applications (SIU)

作者： Gholamreza Anbarjafari Sara Izadpanahi Cagri Ozcinar Hasan Demirel Bilişim Sistemleri Mühendisliği KKTC University uluslararasi Turkey Elektrik ve Elektronik Mühendisliği Bölümü Doğu Akdeniz Üniversitesi KKTC Turkey Elektronik Mühendisliği Bölümü Surrey Üniversitesi UK

This paper proposes a new illumination compensation technique based on iterative implementation of singular value equalization of low frequency subband of a given image. In this work, both input and reference images are decomposed into different frequency subbands by using discrete wavelet transform (DWT). Then low frequency subbands are used in order to compensate the illumination of the input image and achieve the same illumination of the reference image. Afterwards inverse DWT (IDWT) is used to reconstruct the illumination compensated image. The experimental results on various video resolution enhancement techniques show that maximum PSNR gain of 1.96 dB is achieved by applying the proposed illumination compensation technique.

关键词： Lighting Histograms Discrete wavelet transforms conferences PSNR image resolution

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Impact of different walking surfaces on gait identification based on higher-order statistics of accelerometer data

Impact of different walking surfaces on gait identification ...

引用

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

作者： Sebastijan Sprager Damjan Zazula Faculty of Electrical Engineering and Computer Science System Software Laboratory University of Maribor Maribor Slovenia

This paper presents an investigation on how different walking surfaces affect gait identification based on accelerometer data. Accelerometer data of 5 subjects walking on 4 different solid surfaces was acquired on 3 different days by a cell phone placed on the subject's hip. Data analysis detects gait cycles by a method based on wavelet transform. For all gait cycles, features were calculated by using higher-order statistics. Similarity estimation for discerning the different subjects and surfaces was introduced by using principal component analysis (PCA). It proved that the different solid surfaces do not influence the efficiency of the identification of subjects based on their gait.

关键词： Legged locomotion Accelerometers Vectors Ellipsoids Continuous wavelet transforms Cellular phones

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wavelet domain filtering of MR image sequences with appropriate filtering approach based on MR image type

Wavelet domain filtering of MR image sequences with appropri...

引用

International conference on signal processing, Communication, Computing and Networking Technologies

作者： Kedar Phatak Swapnil Jakhade Aniket Nene R. S. Kamathe K. R. Joshi Department of electronics and telecommunication P.E.S's Modern College of Engineering Pune Maharashtra India

Magnetic Resonance Imaging (MRI) is becoming popular in medical diagnosis due to its diagnostic applications and advantages over Xrays. But diagnosis task becomes difficult when noise gets introduced in MR images. Also now a days trend is leaning towards automatic diagnosis. Hence in preprocessing task de-noising has become a challenge. Denoising methods based on linear filters cannot preserve image structures such as edges in the same way that methods based on nonlinear filters can do it. In this paper, an algorithm is introduced that uses wavelet based multiresolution analysis and adaptive filtering which can effectively remove noise from image data. Here, we have used Discrete wavelet transform (DWT) and Un-decimated wavelet transform (UDWT), which are functionally somewhat different, for de-noising of MR images and compared the results of the two. Also we have compared different wavelet families and filters and suggested the best combination for de-noising technique.

关键词： Noise Discrete wavelet transforms Magnetic resonance imaging Noise reduction Rician channels

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