Realization of S-G Shapers for Detector Readout Front Ends
This paper presents realization of semi Gaussian (S-G) shaper circuits for detector readout front ends. The circuits are based on current difference transconductance amplifier (CDTA) and differential difference current conveyor transconductance amplifier (DDCCTA) and can operate in voltage and current mode. The proposed circuits use grounded capacitors and thus make these suitable from integration viewpoint. The theoretical propositions are verified through extensive SPICE simulations using 0.25?m TSMC CMOS technology model parameters. The performance of proposed topologies is compared in terms of total harmonic distortion, power dissipation, dynamic range, signal to noise ratio (SNR) and output noise.
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Satellite Image Resolution Enhancement Using Quadrated Discrete Wavelet Transform
Satellite images are being widely used in many fields. One of the major issues of these types of images is their resolution. The most important quality factors of the images come from its resolution. Interpolation is a known method to increase the resolution of a digital image. A satellite image resolution enhancement technique based on the interpolation of the high-frequency sub bands obtained by discrete wavelet transform (DWT) and the input image is a new proposed technology. The proposed resolution enhancement technique uses DWT to decompose the input image into different sub bands. Then, the high-frequency sub band images and the input low-resolution image have been interpolated by using quadratic interpolation, followed by combining all these images to generate a new resolution-enhanced image by using inverse DWT. By employing DWT with quadratic interpolation, it is possible to recover the high frequency components of the input image which provides with a good visual clarity on the edges of the images and thus enhanced high resolution images are obtained.
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Viewer’s Perception about Code of Ethics and its Application in Political Talk Shows: A Survey Conducted at Sargodha City
The present study is about Viewers Perceptions about Code of Ethics and its Applications in Political Talk Shows (A Survey Conducted at Sargodha City). Political talk shows Capital Talk (Geo News) Kal Tak (Express News) On the Front (Dunya News) Sawal Yeh Hai (ARY News) and News Beat (SAMAA TV) are selected for this study. Total two hundred respondents have been selected for data collection with the help of questionnaire from Sargodha city. Social responsibility theory (SRT) is use to check the application code of ethics of media in the society. The Social Responsibility Theory (SRT) claims that the media has a duty to public and this theoretical approach is a result of shifting media ethics. Present research is identified to find the impact of analysis and discussion by experts through politics talk shows and opportunity of media ethics. This is becoming a more and more essential issue in modern society. Do the anchorpersons of TV political talk shows have focus on social responsibility and respect for media ethics in order to satisfy the public? Empirical findings show that Geo News program Capital Talk is more frequently watched by viewers as compared to other political talk show. It is also finding that Geo News program Capital Talk provides more political awareness as compared to other political talk shows. Findings show that Javed Chudary in his political talk show (Kal Tak) followed code of ethics as compared to other anchorperson TV channels.
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Anchorperson presentational style of private TV channels and students perception university of Sargodha
This study shows the ‘Anchorperson Presentational style of private TV channels and students perception university of Sargodha”. In Pakistan electronic media is considered more powerful media for all types of communications. Especially private electronic media is playing very important role in both positive and negative aspects. The contents of private media are considered as perception and opinion making tools. Talk shows and their anchorpersons are considered influenced in opinion and perception making of respondents. For this study 50 respondents have been selected from BS and 50 respondents from Master Class. In this study survey research technique was been used to exposure the role of anchorpersons and their presentational style in talk shows. The empirical research shows the anchorpersons has political affiliation as well as exaggerates the issues. Findings show that Geo news anchorperson Hamid Mir exaggerate the issues (59%) as compare to JavedChaudry (55%) and Kamran Shahid (42%). It is also find that that Hamid Mir is considered most political affiliated anchorpersons which is supported by findings taht Hamid Mir anchorperson of private TV new channels has political affiliation frequently (71%) which is much more JavedChadury (55%) and Kamran Shahid (50%).It is also find that viewers are more satisfied with anchorpersons of Express News as compare to other news channels. Over all findings show that respondents are satisfied (59%) from anchor persons of Express News which is much more Geo News (51%) and Duyna (40%).
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Development of image processing software for online measurements at streak camera system in Indus-1 synchrotron radiation source
Indus-1 is a 450 MeV, synchrotron radiation source in India. Visible light from wide synchrotron radiation spectrum is focused by visible diagnostic beamline for the study of electron beam parameters. The longitudinal profile of electrons is captured (images) and measured by the indigenously developed streak camera system. Image processing software is developed for measurement of bunch length and bunch centroid position of electron beam (visible part). In this paper the algorithm for development of image processing software is discussed and results obtained after measurement under different light condition and with changing background during the natural decay of beam current are discussed.
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An a new algorithm based on (general singular values decomposition) and (singular values decomposition) for image cryptography
The issue of information security is evolving on a daily basis and the Governments in the world have become e-governments. Which makes it necessary to develop ways to maintain information to protect them from hackers and and protect them from penetration. In this paper we will encrypt the image using two well known matrix analyzers, gsvd and svd, by relying on a complex cryptographic key, an image. The workflow will analyze the image matrix that we want to encrypt and matrix the key image using gsvd analysis.We also analyze the image matrix key using svd analysis. From the resulting matrices of the analyzes we form a new matrix through the process of constructing in a systematic manner and with new values considered large dispersion of the color values of the image matrix that we want to encrypt. This construct we have made will explain it by explaining the algorithm below.The resulting matrix represents the first and most important phase of encryption, a complex coding process that can never be broken. and to reduce the size of the last matrix to a quarter we fold it in a systematic way that can be reversed to retrieve the original values.What distinguishes this algorithm from the rest of the algorithms that preceded it is the readings that appear to the standards of global accuracy especially the encryption time, which did not exceed 1.9 seconds and the decoding time, which did not exceed 0.74 sec it is a very short period of unprecedented.We will make this clear through the tables below.
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A Hybrid Approach for Secure Message Communication and Color Image Watermarking
This research work is nominated for an image protection technique in the area of spatial domain based digital watermarking and steganography. The proposed work has evolved a hybrid algorithm, Namely, MP-1. In this paper, a new data hiding and digital watermarking algorithm basedonimage matrix vectorization is provided. Experimental results show that the research work has achievedfew of targeted goal such as good concealment ability, large embedding capacity. The proposed algorithm can be widely used in area of spatial domain based digital watermarking and steganography.
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A survey of CFA image compression performance
Since its inception, Color Filter Arrays (CFA) image compression has proved to be the most popular approach for image storage in single sensor camera imaging. CFA plays a very important role in the single sensor Digital Still Cameras (DSCs) to record intensity information of one color component at each pixel location. The captured image data is then compressed with different compression methods. CFA image compression introduced several innovative schemes to perform both lossy and lossless compression. Number of studies is available in the literature with respect to the performance of CFA image compression and its mechanisms. In this paper, a systematic survey of the CFA image compression in both lossy and lossless mode from 1991 to 2011 is presented. The surveyed papers discuss the coding techniques used and the resulting observations about compression performance in terms of bit rate PSNR of the reconstructed image.
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Convergence analysis of RMSE optimization power adaptation algorithms for wireless image transmission
Convergence plays an important role in optimization of error. In this paper, Convergence is analyzed in terms of power with respect to Root Mean Square Error. Power Adaptation Algorithms are implemented on image transmission and the convergence is analysed. Distance Based Power Adaptation Algorithm outperforms compared with the other algorithms.
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Estimation of Motion Blur Parameters and Restoration Techniques
One of the most common problems in digital image restoration is motion blur caused by an image captured from a moving platform especially at low light condition having long exposure time of camera. Removing of blur is always challenging for image processing field because one has to estimate the motion blur which can spatially differ over image. Motion blur is simply an undesired effect. Restoration of blur image is very important in many of the cases like identification of number plates of moving vehicle and identification moving human beings. In restoration of motion blur the knowledge of the point spread function (PSF) is key factor. This paper presents the algorithm to estimate PSF parameters like motion blur angle and the motion blur length. Once PSF parameters are estimated then restoration of the blurred image can be achieved. Furthermore paper discusses the comparative study of different restoration techniques. The experimental result shows estimated blur angle and blur length are very close to theoretical value and the blur images with natural and artificial noise are successfully restored. The wavelet based fused image shows the best results.
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