Ashok K. Nagawat

Bio: Ashok K. Nagawat is an academic researcher from University of Rajasthan. The author has contributed to research in topics: Fubini–Study metric & Salt-and-pepper noise. The author has an hindex of 4, co-authored 21 publications receiving 286 citations.

Image De-noising by Various Filters for Different Noise

Abstract: Image processing is basically the use of computer algorithms to perform image processing on digital images. Digital image processing is a part of digital signal processing. Digital image processing has many significant advantages over analog image processing. Image processing allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing of images. Wavelet transforms have become a very powerful tool for de-noising an image. One of the most popular methods is wiener filter. In this work four types of noise (Gaussian noise , Salt & Pepper noise, Speckle noise and Poisson noise) is used and image de-noising performed for different noise by Mean filter, Median filter and Wiener filter . Further results have been compared for all noises.

Performance Comparison of Median and Wiener Filter in Image De-noising

Abstract: Image filtering algorithms are applied on images to remove the different types of noise that are either present in the image during capturing or injected into the image during transmission. This paper deals with Performance Comparison of Median and Wiener Filters in Image de-noising for Gaussian noise, Salt & Pepper noise and Speckle noise.

Contribution of W{sup {plus_minus}}H{sup {minus_plus}}Z{sub i} vertices to anomalous magnetic dipole and electric quadrupole moments of the W boson in the extra U(1) superstring-inspired model

Abstract: W{sup {plus_minus}}H{sup {minus_plus}}Z{sub i} (i=1,2) vertices available exclusively in the extra U(1) superstring-inspired model have been utilized to evaluate the W-W-{gamma} vertex contribution at the one loop level. The expressions so obtained have been used to estimate the anomalous magnetic dipole moment ({Delta}k{sub WZ{sub i}H}) and electric quadrupole moment ({Delta}Q{sub WZ{sub i}H}) of the W{sup +} boson. The contribution of the Z{sub 2}WW vertex is also added to these values. The resulting values in the unit of ({minus}{alpha}/{pi}) when the Z{sub 2} mass varies from 555 to 620 GeV have the following ranges: for m{sub t(CDF)}=175.6GeV, {Delta}k{sub [U(1)]}, from 25.402 to 41.559, {Delta}Q{sub [U(1)]}, from 6.886 to 10.858; for m{sub t(D0)}=169GeV, {Delta}k{sub [U(1)]}, from 20.821 to 34.121, {Delta}Q{sub [U(1)]}, from 5.738 to 9.033. These are larger than the standard model radiative correction contributions but an order of magnitude smaller than those predicted by the composite model of Abbott and Farhi.

Camera calibration technique using tsai's algorithm

Abstract: This Paper deals with camera calibration system based on Tsai’s algorithm and from that calibration data we obtain the depth information of an object in stereovision system. Tsai’s method for camera calibration recovers the interior orientation ( intrinsic parameters ), the exterior orientation ( extrinsic parameters ) , the power series coefficients for distortion, and an image scale factor that best fit the measured image coordinates corresponding to known target point coordinates. For recovering the depth estimation in stereovision systems two cameras are used and should be calibrated both properly. Without information about the relative positions of the two cameras, stereovision becomes less important. The relative positions of the two cameras are necessary for rectification of the images.

Design and implementation of high performance advanced extensible interface(AXI) based DDR3 memory controller

Abstract: This paper deals with the designing an interface between AXI Protocol based system and DDR3 Memory. It enables an AXI host to read and write data in a DDR3 Memory. It has been designed to utilize the DDR3 interface for maximum throughput. It implements FIFO where it stores the write command and writes data and passes it to DDR3 Memory. Similarly, it collects data from DDR3 Memory and stores in a FIFO which it sends to host whenever it is ready to accept data. The design throughput has been increased.

Quantum Theory of Fields

Abstract: To say that this is the best book on the quantum theory of fields is no praise, since to my knowledge it is the only book on this subject But it is a very good and most useful book The original was written in German and appeared in 1942 This is a translation with some minor changes A few remarks have been added, concerning meson theory and nuclear forces, also footnotes referring to modern work in this field, and finally an appendix on the symmetrization of the energy momentum tensor according to Belinfante Quantum Theory of Fields Prof Gregor Wentzel Translated from the German by Charlotte Houtermans and J M Jauch Pp ix + 224, (New York and London: Interscience Publishers, Inc, 1949) 36s

Gauge Theory of Elementary Particle Physics

Abstract: Ta-Pei Cheng and Ling-Fong Li 1984 Clarendon Press: Oxford University Press xi + 536 pp price £35 (£15 paperback) ISBN 0 19 851956 7 Hdbk, 0 19 851961 3Pbk This book is an excellent summary of gauge theories in particle physics, intended for advanced graduate students and research workers in the field. It presupposes both a knowledge of elementary particle phenomenology and of quantum field theory at the level taught in first-year postgraduate lecture courses.

A Comparative Study of Various Types of Image Noise and Efficient Noise Removal Techniques

Abstract: Getting an efficient method of removing noise from the images, before processing them for further analysis is a great challenge for the researchers. Noise can degrade the image at the time of capturing or transmission of the image. Before applying image processing tools to an image, noise removal from the images is done at highest priority. Ample algorithms are available, but they have their own assumptions, merits and demerits. The kind of the noise removal algorithms to remove the noise depends on the type of noise present in the image. Best results are obtained if testing image model follows the assumptions and fail otherwise. In this paper, light is thrown on some important type of noise and a comparative analysis of noise removal techniques is done. This paper presents the results of applying different noise types to an image model and investigates the results of applying various noise reduction techniques.

Minimal Anomalous U(1)' Extension of the MSSM

Abstract: We study an extension of the minimal supersymmetric standard model by an anomalous Abelian vector multiplet and a St\"uckelberg multiplet. The anomalies are cancelled by the Green-Schwarz mechanism and the addition of Chern-Simons terms. The advantage of this choice over the standard one is that it allows for arbitrary values of the quantum numbers of the extra $U(1)$. As a first step toward the study of hadron annihilations producing four leptons in the final state (a clean signal which might be studied at LHC), we then compute the decays ${Z}^{\ensuremath{'}}\ensuremath{\rightarrow}{Z}_{0}\ensuremath{\gamma}$ and ${Z}^{\ensuremath{'}}\ensuremath{\rightarrow}{Z}_{0}{Z}_{0}$. We find that the largest values of the decay rate are $\ensuremath{\sim}{10}^{\ensuremath{-}4}\text{ }\text{ }\mathrm{GeV}$, while the expected number of events per year at LHC is at most of the order of 10.

A brief study of various noise model and filtering techniques

Abstract: In image processing, noise reduction and restoration of image is expected to improve the qualitative inspection of an image and the performance criteria of quantitative image analysis techniques Digital image is inclined to a variety of noise which affects the quality of image. The main purpose of de-noising the image is to restore the detail of original image as much as possible. The criteria of the noise removal problem depends on the noise type by which the image is corrupting .In the field of reducing the image noise several type of linear and non linear filtering techniques have been proposed . Different approaches for reduction of noise and image enhancement have been considered, each of which has their own limitation and advantages.