Prathyusha Reddi D.,PBR VITS |
Giri Prasad M.N.,JNTUACE |
Contemporary Engineering Sciences | Year: 2013
The amount of information that is handled by computers has grown exponentially over the past decades. Hence, the storage and transmission of the digital image component of Multimedia systems is a major problem. The amount of data required to present images at an acceptable level of quality is extremely large. High quality image data requires large amounts of storage space and transmission bandwidth, something which the current technology is unable to handle technically and economically. The success of wavelet techniques in many fields of signal and image processing was proved to be highly influenced by the properties of wavelet transforms used, mainly the shift invariance and the directional selectivity. Unfortunately, the 2D discrete wavelet transform is shiftvariant and has a reduced directional selectivity. These disadvantages can be overcome if a complex wavelet transform is used. The Hyperanalytic Wavelet Transform (HWT) is quasi shift-invariant, it has a good directional selectivity, and a reduced degree of redundancy. The present work discusses the efficacy of HWT and how the properties of HWT are used for image compression. The results obtained are compared with DWT. Appreciable increase in PSNR along with compression ratio is obtained.
Mallikharjuna Rao N.,APGCCS |
Naidu M.M.,SVUCE |
2011 International Conference on Emerging Trends in Electrical and Computer Technology, ICETECT 2011 | Year: 2011
At present, as a new trend of telecommunication industry the mobile applications requires to refine the technique of database continually. Therefore mobile database has come into being. The proposed technique is mainly focused on the introduction of fuzzy mobile database and its characteristic of mobile data. In this paper we have especially analyzed the structure and functionality of the mobile databases. The proposed technique is called Fuzzy databases. © 2011 IEEE.
Thriveni R.,ACE Inc |
2013 International Conference on Computer Communication and Informatics, ICCCI 2013 | Year: 2013
Satellite color images are being used in many fields of research. One of the major issues of these types of color images are their poor perception. In this letter a new method to enhance the satellite image which using the concept of wavelets and threshold decomposition. The proposed enhancement technique uses DWT to decomposed input image into different sub bands. Threshold decomposition is a powerful theoretical tool, which is used in nonlinear image analysis. Detecting the positions of the edges through threshold decomposition and these edges are sharpened by using morphological filters. This method will give better qualitative and quantitative results. © 2013 IEEE.
Hemalatha G.,KSRMCE |
Anuradha B.,SVUCE |
Adinarayana Reddy V.,GPREC
International Journal of Applied Engineering Research | Year: 2015
The primary goal of this work is to introduce temporal artifact detection strategy to detect non responsive channels and trials in evoked potentials by tracing out the signals with very low energy and to remove artifacts in multichannel evoked potentials. The non responsive channels and trials are identified by calculating the energy of the average evoked potential of each channel, and the energy of the average evoked potential of each trial. Then channel wise and trial wise median test is conducted to detect and remove non-responsive channels and trials. An artifact is defined as any signal that may lead to inaccurate classifier parameter estimation. Temporal domain artifact detection tests include: a standard deviation (STD) test that can detect signals with little or abnormal variations in each channel, a clipping (CL) test detect amplitude clipped EPs in each channel, a kurtosis (KU) test to detect unusual signals that are not identified by STD and CL tests, mode deviation test to detect the signals with large mode deviation and correlation test to detect the signals with less correlation. An attempt has been made to apply these techniques to 14-channel visual evoked potentials (VEPs) obtained from different subjects. © Research India Publications.
Satyanarayana Moorthy D.V.,SVUCE |
Reddy Babu G.,SKIT
Journal of Engineering and Applied Sciences | Year: 2010
Textile manufacturing units involved in finishing processes are profuse water consumers. The effluents from these plants are major source of water pollution. Poly Aluminium Chloride (AlCl3 6H2O) is used as a coagulant for the removal of Chemical Oxygen Demand (COD) of selective reactive dyes, which are used for cotton yarn dyeing, at different doses. The results indicate that the removal of COD of various dyes RB41, RB209, RB204 and RB184 are 68, 40, 36, and 29 percent, respectively at their optimum doses. The optimum doses of Poly Aluminium Chloride (PAC) for RB41, RB209, RB204 and RB 184 are 5.2, 34.3, 20 and 22mg of PAC per mg. of COD removed, respectively. © 2006-2010 Asian Research Publishing Network (ARPN). All rights reserved.
Murthy G.L.N.,LBRCE |
Anuradha B.,SVUCE |
International Journal of Applied Engineering Research | Year: 2014
Effective diagnosis and treatment planning of disease using Magnetic Resonance (MR) images heavily lies on the accuracy of noise removal. MR images are often distorted by different types of noise which in turn affects various sub processes involved including feature extraction. In this paper, an attempt is made to design such an algorithm capable of handling various types of noise. While conventional filtering algorithms in spatial domain operate directly on the pixel values, the proposed algorithm will be based on depth between pixels. The filtering process is carried out by assigning positive quantities in the neighborhood of corrupted pixels. Root Mean Square Error (RMSE) is used as the quantifying measure of the proposed algorithm. The qualitative and quantitative results shows that the proposed algorithm suits best for achieving required noise cancellation. © 2014, Research India Publications.
Obulesu O.,Research Scholar in CSE |
Proceedings - 6th International Advanced Computing Conference, IACC 2016 | Year: 2016
Mining frequent and maximal Periodic Patterns is the challenging task for the data scientists due to unstructured, dynamic and huge raw data generated from web. Big Data is a latest tendency used to examine the datasets from large, complex databases. Developers cannot supervise them through conventional algorithms or Knowledge discovery software tools. Big Data mining is the ability to extract valuable information either from these huge datasets or else streams of data, due to its three V's (Volume, Velocity, and Variety). The previous studies focus on how to find frequent patterns from large traffic and sensor data based applications. However, mining maximal and useful periodic patterns from spatiotemporal datasets is still an open research problem in weather conditions, Fraud recognition and forest fire prevention Applications. We propose two algorithms such as Enhanced Tree based pattern mining algorithm (ETMA) and Extended Frequent Pattern Mining algorithm (EFPMA, which generates all frequent and maximal periodic patterns from spatiotemporal databases. A novel framework is introduced to mine spatiotemporal patterns from Big Data. All Existing algorithms are fit in calculation of essential patterns, but more tedious if they apply for Big Data. The proposed framework and algorithms produce better results than UDDAG, STNR algorithms towards scalability and decreased run time compared to DBSCAN, ECLAT algorithms. © 2016 IEEE.
Thriveni R.,SVUCE |
Proceedings of 2015 IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2015 | Year: 2015
Image processing is a very broad field that includes compression, feature detection, and classification etc. The output of the digital sensor is a 'raw' digital image that consists of an array of digital count values with each value representing the brightness, or gray level, of a pixel in the image. The effort on edge enhancement is to emphasize specific feature of the image for visual perception or feature extraction. Edge-preserving image enhancement is of great interest in Satellite image processing. In this study we propose a DWT-PCA based fusion and Morphological gradient for enhancement of Satellite images. The input image is decomposed into different sub bands through DWT. PCA based fusion is apply on the low-low sub band, and input image for contrast enhancement. IDWT is used to reconstructs the enhanced image. To achieve a sharper boundary discontinuities of image, an intermediate stage estimating the fine detail sub bands is required. This is done by the success of threshold decomposition, morphological gradient based operators are used to detect the locations of the edges and sharpen the detected edges. The proposed method has been shown that improved visibility and perceptibility of various digital satellite images. © 2015 IEEE.
Sagar Reddy K.S.,Narayana Engineering College |
IET Conference Publications | Year: 2011
In this paper, two self-adaptive bandwidth reservation schemes, which adopt support vector regression and swarm intelligence techniques, respectively, are proposed to reduce the forced termination probability of multimedia handoffs. Meanwhile, a proportional differentiated service model is incorporated into our schemes to accommodate new metrics used in processing handoffs in next generation networks. The simulation results show that both the proposed schemes can achieve superior performance than the representative band-width-reserving schemes in the literature when performance metrics are measured in terms of the forced termination probability for the handoffs, the call blocking probability for the new connections and bandwidth utilization.
Devaraju T.,JNTUCEA |
Kumar M.V.,JNTUCEA |
Journal of Theoretical and Applied Information Technology | Year: 2010
Custom Power devices like Dynamic voltage restorer and STATCOM are normally employed as a solution for mitigation of power quality problems like voltage sag and swell. In this paper new voltage sag compensators based on an autotransformer and an IGBT switched by PWM technique and Hysteresis Voltage Control (HVC) method are compared. These two schemes are able to recognize the voltage sag condition quickly, and it can correct the correct the voltage by boosting the input voltage during voltage sag events. Different voltage sag events have been simulated by MATLAB/Simulink software. The results of simulations verify the ability of both methods to mitigate voltage sag events. © 2005 - 2010 JATIT & LLS.