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Suresh G.,Anna University | Epsiba P.,CAHCET | Rajaram M.,Anna University
European Journal of Scientific Research | Year: 2011

Block based motion estimation is widely used in video compression for exploiting video temporal redundancy. Nevertheless, speeding up of the process is a major constraint. Therefore, large number of fast block matching algorithms (BMAs) has anticipated for motion estimation by limiting the number of search locations. In addition, simplifying the measure of match between two blocks under comparison is also possible. In this paper a new BMA that measures the match by using fast Walsh search-least median square (FWS-LMedS) based approach is proposed for motion estimation. Target blocks in the current frame and their candidates in the reference frame are transformed into Walsh-Hadamard coefficients for early rejection of mismatch candidates. Also, it focuses on minimizing the squared differences between the current and predicted frames by LMedS measures. The proposed matching algorithm is not only maintaining small computation requirement but also provide high matching accuracy.

Suresh G.,CAHCET | Epsiba P.,CAHCET | Rajaram M.,GCE | Sivanandam S.N.,PSG College of Technology
Journal of Theoretical and Applied Information Technology | Year: 2010

In this paper, a weighted adaptive scalable hierarchical (WASH) tree based video coding algorithm is proposed with low-memory usage. The standard coding uses three separate lists to store and organize tree data structures and their significance, which can grow large at high rate and consume large amounts of memory. In the proposed algorithm, value added adaptive scale down operator discards unnecessary lists and the process length of the sorting phase is shortened to reduce coding time and memory usage. Spatial and temporal scalability can be easily incorporated into the system to meet various types of display parameter requirements and self-adapting rate allocations are automatically achieved. Results show that the proposed method reduces memory usage, run time and improves PSNR. © 2005 - 2009 JATIT. All rights reserved.

Suresh G.,CAHCET | Epsiba P.,CAHCET | Rajaram M.,GCE | Sivanandam S.N.,PSG College of Technology
2010 2nd International Conference on Computing, Communication and Networking Technologies, ICCCNT 2010 | Year: 2010

In this paper, we propose a low complex Scalable ACC-DCT based video compression approach which tends to hard exploit the pertinent temporal redundancy in the video frames to improve compression efficiency with less processing complexity. Generally, video signal has high temporal redundancies due to the high correlation between successive frames. Actually, this redundancy has not been exposed enough by current video compression techniques. Our model consists on 3D to 2D transformation of the video frames that allows exploring the temporal redundancy of the video using 2D transforms and avoiding the computationally demanding motion compensation step. This transformation turns the spatial temporal correlation of the video into high spatial correlation. Indeed, this technique transforms each group of pictures (GOP) to one picture (Accordion Representation) eventually with high spatial correlation. This model is also incorporated with up/down sampling method (SVC) which is based on a combination of the forward and backward type discrete cosine transform (DCT) coefficients. As this kernel has various symmetries for efficient computation, a fast algorithm of DCT-based Scalability concept is also proposed. For further improvement of the scalable performance, an adaptive filtering method is introduced, which applies different weighting parameters to DCT coefficients. Thus, the decorrelation of the resulting pictures by the DCT makes efficient energy compaction, and therefore produces a high video compression ratio. Many experimental tests had been conducted to prove the method efficiency especially in high bit rate and with slow motion video. The proposed method seems to be well suitable for video surveillance applications and for embedded video compression systems. ©2010 IEEE.

Epsiba P.,Anna University | Subathra S.,CAHCET | Sardar Basha N.,CAHCET | Suresh G.,CAHCET | Kumaratharan N.,SVEC
Journal of Theoretical and Applied Information Technology | Year: 2013

Today's revolution is mobile communication revolution, which enables us to connect each other worldwide. Due to the enhancement of multimedia and video surveillance services people are more sophisticated. Because of bandwidth requirements and resolution mismatch the designers still striving to provide robust coding technique. In mobile, web applications scalable video coding plays a vital role to integrate network providers with their clients. Generally, visual artifacts introduced in the existing video up/down sampling and to bridge the resolution gap between video streaming and display devices a new curvelet based architecture is introduced. Specifically, the proposed method up samples video frames by decoding the lower resolution (LR) video together with necessary features extracted from high resolution (HR). In this paper edge extraction and profile generation is provided as metadata by using curvelet transform. This proposed metadata based video streaming using curvelet transformation structure enhancing the video quality during LR to HR scheme and it provides good solution commercially. © 2005 - 2013 JATIT & LLS. All rights reserved.

Suresh G.,CAHCET | Ismail Hussain K.,CAHCET
International Journal of Applied Engineering Research | Year: 2014

In this paper, we have designed a low cost endoscopic optical coherence imaging systems with modified signal processing technique. The imaging system consists of simple electrostatic MEMS mirror and data acquisition technique which improves the overall performance of the system. The Electrostatic MEMS mirror is designed using MATLAB and fabricated. The Fabricated Mirror is tested using optical surface profiler for its proper functioning. The data acquisition system consists of a balanced photo detector, an amplifier, analog to digital converter and LAB View which reduces the overall cost of the system. The optics set the limits for performance characteristics such as axial and lateral resolution; the sensitivity of the system depends on the balanced photo detection technique. We demonstrate the feasibility of a compact and low-cost detection electronics implemented by an Electrostatic MEMS Mirror along with time domain OCT system. An onion slices were used as an imaging sample. © Research India Publications.

Preethi G.,CAHCET | Sornagopal V.,CAHCET
Proceeding of the IEEE International Conference on Green Computing, Communication and Electrical Engineering, ICGCCEE 2014 | Year: 2014

The uncovering Brain Tumour is a challenging problem due to the structure of the Tumour cells. The proposed work presents a sorting method for classifying Magnetic Resonance images to detect the Brain Tumour in its early stages and to analyze anatomical structures. The probabilistic neural network with radial basis function (PNN-RBF) will be engaged to implement an automated Brain Tumour classification and To regulate the stages of Brain Tumour that is benign, malignant or normal. Decision shaping was performed in two stages: feature extraction using FDCT, gray level co-occurrence matrix (GLCM) and the classification using PNN-RBF network. The depiction of this classifier was evaluated in terms of training performance and classification accuracies. The simulated results will be show that PNN classifier provides better accuracy than the existing methods. © 2014 IEEE.

Gopinath M.,C.A.H.C.E.T
European Journal of Scientific Research | Year: 2012

This paper deals with the simulation of Bridgeless PFC Converter using one cycle control technique. One-Cycle Control is a nonlinear control method. Here systematic design method for One-Cycle Control systems is provided with the Bridgeless converter as an example. Physical insight is given which explains how One- Cycle Control achieves instant control without infinite loop gain. This new control method is very general and directly applicable to all dc-to-dc switching converter. Conventional boost PFC suffers from the high conduction loss in the input rectifier-bridge. Higher efficiency can be achieved by using the bridgeless boost topology. In this paper, one cycle control technique is used to solve the issues like PFC, EMI Noise rejection. © EuroJournals Publishing, Inc. 2012.

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