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Application of Distributed Arithmetic in image and ECG signal processing

Application of Distributed Arithmetic in Image and ECG Signa...

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International conference on Current Trends in Computer, Electrical, Electronics and Communication

作者： Anu Mary Sunny Naveen Jacob Dept. of Electronics and Communication Engineering Viswajyothi College of Engineering & Technology Vazhakulam Kerala India

ISBN: (纸本)9781538632444

The core of many DSP applications involve convolution which was previously implemented by Multiply and Accumulate operations or MAC. It requires a number of multipliers and accumulators. The use of multipliers and accumulators result in faster execution but it also results in an increase in cost. Also the number of multipliers and adders are limited. Hence a new technique known as Distributed Arithmetic (DA) was proposed. It is basically a multiplier-less concept utilizing Lookup Table (LUT). It is used when one of the operand is fixed. The input enters into a serial register which is used to access the LUT. To get the address from the LUT we consider the bit positions and get the values of inputs by that bit position. The output from the lookup table is shifted accordingly and the shifted results are added together to form the final result. Hence it basically involves accessing the lookup table, shift and add operation. After implementing the DA logic and comparing it with the convolution scheme, we apply this concept in Discrete wavelet Transform (DWT) of an image and ECG signal by using Haar filter coefficient.

关键词： Distributed Arithmetic Discrete wavelet Transform ECG signal

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A Refined Automatic Co-Registration Method For High-Resolution Optical and Sar images by Maximizing Mutual Information

A Refined Automatic Co-Registration Method For High-Resoluti...

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IEEE International conference on signal and image processing (ICSIP)

作者： Saidi, Faycal Chen, Jie Wang, Pengbo Beihang Univ Sch Elect & Informat Engn Beijing 100191 Peoples R China

ISBN: (纸本)9781509023776

The use of multisensors images for different applications, like change detection and image fusion, require an image to image registration. Actually, the image registration becomes a crucial task with the continuous increase in image resolution, especially in urban area. In this paper, a refined automatic Mutual Information based registration approach of spaceborne Synthetic Aperture radar (SAR) and optical image is proposed. The data set include TerraSar-X (1m) and Worldview-2 (0.5m) images and cover urban area of San Francisco. Our approach is divided into two steps. First, we use Discrete Canny edge detector to extract contours from the optical image, and Gabor-wavelet filter to extract edge from the SAR image. Second, a rigid transformation (rotation and translation) is applied to the contours image obtained by Canny detector. Then, for each value of transformation, the Mutual Information is computed between this transformed image and the feature image outcome of application of Gabor-wavelet to the SAR image. The best transformation parameters are obtained when the Mutual Information is maximal. Also, in this work, we compared the proposed approach with the basic Mutual Information intensity based registration method. The results obtained demonstrated that our approach improve the registration accuracy comparatively to the basic Mutual Information intensity based registration method.

关键词： image registration mutual information gabor-wavelet SAR image canny edge detector

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A Fragile Watermarking Scheme for image Authentication Using wavelet Transform 7th

A Fragile Watermarking Scheme for Image Authentication Using...

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7th International conference on image and signal processing (ICISP)

作者： Azeroual, Assma Afdel, Karim Fac Sci Comp Syst & Vis Lab Agadir 80000 Morocco

ISBN: (纸本)9783319336183;9783319336176

The modification of digital content becomes easier owing to the technology development. The need of authenticating digital content is increasing. Different fragile watermarking methods have been proposed for image authentication. In some applications low complexity algorithm is required, such as real-time and video processing applications. We propose in this paper, a fragile watermarking scheme for image authentication using Faber Schauder Discrete wavelet Transform (FSDWT) and Singular Value decomposition (SVD) where the data to be embedded is a logo. The Watermark was generated by applying XOR operation between the logo's bits and the bits of dominant blocks singular values of the image to authenticate. These dominant blocks are obtained by applying FSDWT to that image. Any image modification will result in significant change of the dominant blocks singular values, which helps the watermarking scheme to detect the authenticity of the image. Furthermore, FSDWT is composed of simple operations, hence, the algorithm has a low complexity.

关键词： image authentication Fragile watermarking Tamper detection Mixed scales FSDWT Singular value decomposition

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Design of signal Dependent wavelet Transform

Design of Signal Dependent Wavelet Transform

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International conference on signal and Information processing (IConSIP)

作者： Chavan, S. S. Holambe, R. S. SGGS Inst Engn & Technol Instrumentat Enginering Nanded 431606 India

ISBN: (纸本)9781509015221

Many wavelet design techniques build adaptive wavelets from existing wavelets. However, most of the techniques do not design wavelet directly of the signal of interest. Conventional signal dependent transforms are Karhunen-Loeve transform and Singular Value Decomposition whose basis function depends on statistics of an input signal. signal-dependent transform is considered to be best among all linear transformations with respect to energy compaction. Likewise, wavelets are best known for image compression, many researchers are interested in using wavelets for detection or recognition. Choosing appropriate wavelet for a given application is a challenging task. Therefore, there is a need of designing wavelet to match a signal shape which increases performance for detection or identification applications. J. Chapa and R. Rao [15] have introduced algorithms for designing wavelet to match the signal shape. The construction of direct wavelet function which will look like the signal and whose family of 2 (-p/2) psi (2 (-p)t - q) wavelets generate an orthonormal Riesz basis of L-2 (R) are established. In this method, numerical algorithms are used for finding matched wavelet amplitude spectra and group delays using sampled data which are signal dependent wavelets. Orthonormal scaling function (father wavelet function) is obtained by applying orthonormal multiresolution analysis (OMRA) conditions on input signal.

关键词： signal-dependent transform Orthonormal scaling function OMRA

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Implementation of Barrel Distortion Correction on DSP in Real Time 2

Implementation of Barrel Distortion Correction on DSP in Rea...

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2nd International conference on Computing, Communication, Control and Automation (ICCUBEA)

作者： Awade, Prajwal G. Bodhula, Ramakrishna Chopade, Nilkantha Pimpri Chinchwad Coll Engn Dept Elect & Telecommun Pune Maharashtra India Wavelet Technol Private Ltd Pune Maharashtra India

ISBN: (纸本)9781509032914

Camera plays a vital role in intelligent embedded image processing systems. But unlike human eyes, it creates distortions in the image captured, most commonly called as lens distortion. The uneven magnification over the lens surface is responsible for lens distortion. Distortion conveys incorrect information about the coordinates in the image frame with respect to real world coordinates and thus decreases the positional accuracy of the processing in the complete system. In video or image processing applications like motion detection, satellite tracking, automatie vehicle parking, ADAS etc. the lens distortion needs to be eliminated. Hence, to improve accuracy of such applications, implementation of a barrel distortion correction algorithm in real time is presented in this work. The algorithm is implemented on the Analog Devices' BF561 Digital signal Processor for real time distortion correction, and the results are discussed. The results shown include the outputs of algorithm on digital signal processor platform.

关键词： Digital signal Processor BlackFin Lens Distortion Barrel Distortion Fish Eye Bililzear Interpolation DSP Live Video Lens Correction Real Time BF561

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Quality Enhancement of Compressed image based on Perceptual Modeling

Quality Enhancement of Compressed Image based on Perceptual ...

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conference on Advances in signal processing (CASP)

作者： Jadhav, Tushar R. Thokare, Samidha S. Zaveri, Riddhi B. Vishwakarma Inst Informat Technol Dept Elect & Telecommun Pune Maharashtra India

ISBN: (纸本)9781509008490

wavelet algorithms have been generally learned for image processing purposes. image compression is the most common among these applications. But one of the main drawbacks of wavelet based compression is to disable quantization error efficiently. In this paper we have implemented a logarithmic model that estimates the non-linearity of human perception and somewhat precompensates for the effect of the display device. The model is based on Weber-Fechners law, which explains the differential sensitivity of the human perception using a logarithmic transfer function. To spread the coefficient distribution in the wavelet domain in compliance with the human perceptual attributes, a logarithmic transfer function is recommended by G. Al-Hudhud in his paper. Quantisation matrix is produced by calculating the values of standard deviation for all sub-bands for a given image. In order to provide the best visual quality of the processed image, the quantisation matrix is scaled. In JPEG the quantisation matrix is fixed for particular qualities for different images. But in this model, the main advantage is that, it produces quantisation matrix which is image dependent and scalable. Here we use this derived quantisation matrix to enhance the quality of the image and this matrix gives error less than the visibility threshold of human eye. The model presented in this paper is tested with grey scale images for various quality. The quality of reconstructed image is much better than the distorted image in terms of PSNR and MESSIM.

关键词： Logarithmic Model scalable and image dependent quantisation matrix PSNR SSIM

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Enhancement of Latent Fingerprints on Banknotes Using Monogenic wavelets 11

Enhancement of Latent Fingerprints on Banknotes Using Monoge...

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11th International conference on signal processing and Communications (SPCOM)

作者： Birajadar, Parmeshwar Patidar, Varun Shirvalkar, Pushkaraj Gupta, Shubham Gadre, Vikram ITT Bombay Dept Elect Engn Bombay 400076 Maharashtra India

ISBN: (纸本)9781509017461

Latent fingerprints on banknotes provide valuable information in forensic applications to identify suspects of robbery cases and counterfeiters. The image quality of latent fingerprints is poor due to the complex background of banknotes compared to live-scan images acquired in a controlled environment. An effective orientation field estimation algorithm is necessary for enhancing poor quality latents in the presence of background noise for reliable extraction of minutia features. There have been attempts in the literature to characterize a fingerprint using an AM-FM model. Motivated by the ability of the monogenic signal representation to demodulate such a signal to extract its features, this paper proposes a novel algorithm of latent fingerprint multiresolution orientation estimation with a modified Simoncelli isotropic wavelet design and by an appropriate use of the multiresolution orientation field. Experimental results on synthetic noisy images and real latents from our created latent fingerprint database on banknotes show that the enhanced image quality by using the proposed algorithm is better than the other existing methods for estimating the fingerprint orientation.

关键词： image quality

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wavelet Based New Hybrid image Denoising

Wavelet Based New Hybrid Image Denoising

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International conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT)

作者： Easwara, M. Meenavathi, M. B. CBIT Dept E&CE Kolar India BIT Dept E&IE Bengaluru India

ISBN: (纸本)9781509046973

In the modern age, the transmission of digital images is one of the major processes of communication system. Meanwhile, images are often corrupted by the noise. In many image processing applications the reconstruction of high quality image is an essential fact. To achieve this, we proposed a wavelet based hybrid image denoising. In which, after wavelet decomposition of a noisy image both the approximation and the detail coefficients are incorporated into modification. Approximation coefficients are processed by the Cloud Model (CM) and estimated by the fuzzy mean without omitting the contribution of an individual. The detail parts undergo sub band based adaptive modified firm thresholding. Finally, the image is treated with an Adaptive Wiener filter, to further improve its visual quality. Evaluation indicates that our proposed algorithm outperforms over wavelet based Weighted High Frequency Kernel (WHFC) and median methods in terms of Peak signal to Noise Ratio (PSNR).

关键词： Adaptive hybrid fuzzy mean coefficients

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Matrix Quadrature Filterbanks for image processing

Matrix Quadrature Filterbanks for Image Processing

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IEEE Pulsed Power conference

作者： Jian-ao Lian Yonghui Wang Department of Mathematics Prairie View A&M University Department of Engineering Technology Prairie View A&M University

ISBN: (纸本)9781509063901

An innovative approach is presented to establish bidimensional (2D) linear-phase matrix quadrature filterbanks (MQF) directly from their matrix identities. It is well-known that two-channel quadrature filterbanks (QMF) have been successfully applied to signal and image processing. Bidimensional QMF filterbanks directly deduced from tensor-products of 1D QMF filterbanks is easy, straightforward, and convenient. They possess both the finite impulse response (FIR) and the perfect reconstruction (PR) properties, which are necessary for filter-banks' alias-free as well as magnitude and phase distortion-free characteristics. However, some additional desirable features are missing. These features include directional features, magnitude preservation, energy preservation, and energy compaction. Direct consideration from matrices yields more freedoms for the design of the new ingenuous MQF. A new MQF is designed and is applied to image compression. The rate-distortion performance shows that the proposed matrix wavelet has promising potential applications in image processing.

关键词： image processing Quadrature mirror filters matrices energy compaction QUADRATURE IMPULSE RESPONSE image compression Data compression Tensor products Phase distortion EARTHQUAKE MAGNITUDE WELLS

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A New Method For Extraction of image's Features: Complex Discrete Ripplet-II Transform 24

A New Method For Extraction of Image's Features: Complex Dis...

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24th signal processing and Communication Application conference (SIU)

作者： Yasar, Huseyin Ceylan, Murat TC Sagl Bakanligi Ankara Turkey KTO Karatay Univ Muhendislik Elekt Elekt Muhendisligi Bolumu Konya Turkey

ISBN: (纸本)9781509016792

wavelet transform extracts the features of a signal and image via shifting and weighting methods. This transform has either advantages or disadvantages on image processing applications. One of important disadvantage of wavelet transform is limited orientation problem. This problem has been solved by different orientation with ridgelet transform. Ripplet-II transform is defined by recently generalising of the ridgelet transform by adding parameter degree (d). Complex discrete form of ripplet-II transform defined by this study and added to the literature. Also, complex discrete Ripplet-II transform was tested on medical image classification application. For this, the most common benign lesions in liver MR are classified as cyst and hemangioma using complex discrete Ripplet-II transform and ANN. Obtained results shown that, classification success of complex discrete Ripplet-II transform with complexvalued coefficients is higher than real-valued coefficients.

关键词： ridgelet transform ripplet-II transform complex discrete ripplet-II transform cyst hemangioma liver classification

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