Informatics Publishing Limited

K. Vasanth ¹, A. A. F. Kavirajan ², T. Ravi ², Nirmal Raj ¹

Affiliations
1 Department of E.E.E, Sathyabama University, Chennai-119, Tamil Nadu, IN
2 Department of E.C.E, Sathyabama University, Chennai-119, Tamil Nadu, IN

Abstract

The need for an optimized area, speed and power plays a vital role for any median filter is good at removing impulse noise without degrading the image details. The main operation of the median is Rank ordering. It is a computationally complex operation, so it is hard to implement it in real time. This paper introduces a new sorting technique called for Snake like sorting. The proposed Sorting technique is implemented as a parallel architecture. This algorithm is a Mesh based sorting that require less number of comparators for rank ordering. The proposed architecture is compared with other Rank Ordering algorithm on the basis of power, speed, and area and found to exhibit good results. The proposed architecture is implemented on parallel and pipelined schemes and is targeted for Spartan 3e Device with gate capacity 5000 using Xilinx 7.1i compiler version. The pipelined scheme has an operating frequency of 81 Mhz occupying 283 slices with a gate count of 5,640.

Keywords

Borrow Look Ahead Select Comparator, Median Filter, Modified Shear Sorting, Salt And Pepper Noise

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M. Pushpavalli ¹, P. Abirami ¹, K. Vasanth ¹

Affiliations
1 EEE Department, Sathyabama University, Chennai, Tamil Nadu, IN

Abstract

This paper proposes a novel closed loop control of Negative output KY boost converter using fuzzy logic. The power circuit consists of a capacitor and a diode in addition to the conventional boost converter circuit. The controller implemented the fuzzy logic to fuzzify the change in voltage with the reference voltage in order to obtain reduced output ripple, improved efficiency and fast settling time. The Proposed controller exhibits better performance than its closed loop counterparts such as PI and PID controllers. The simulation result illustrates that the output voltage ripple is reduced from 103mV to 3 mV and also the settling time is improved from 30ms to 15ms .It enhances the output power from 36 watts to 59.21 watts in load variations and 474 watts to 987 watts in line variations phenomenon. The Hardware development was also developed for the same and the performance was observed.

Keywords

Fuzzy Logic Controller, Negative KY Boost Converter, PID Controller

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K. Vasanth ¹, S. Karthik ²

Affiliations
1 Department of E.E.E, Sathyabama University, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai-119, IN
2 Cognizant Technologies Solutions, Chennai, Tamilnadu, IN

Abstract

In this paper, a fixed 3×3 window size switched algorithm for removal of the image noises such as fixed impulse, random impulse noise, zero mean Gaussian noise, mixed noise and artifacts such as blotches, stripes, streaks for gray scale images for increasing noise densities is presented. The proposed method uses a tree based method to classify the noisy pixels and noisy free pixels. Being a switched algorithm the median is calculated only after identifying the pixel is noisy. At higher noisy environments the corrupted pixel is replaced either by the median or by mean of non noisy pixel in the current window or the preprocessed neighborhood pixel based on the classification. The quantitative and qualitative performance of the proposed algorithm outclasses many of the standard filters in terms of different artifact removal with edge preservation. The proposed algorithm found to give better results in the removal of fixed impulse noise up to 80%, and preserves edges up to 70%, zero mean 0.9% variance Gaussian noise. The proposed algorithm even found to suppress mixed noise of 10% impulse noise plus zero mean 0.3% variance Gaussian noise composition.

Keywords

Switched Median Filter, Modified Decomposition Filter, Threshold Decomposition Filter.

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K. Vasanth ¹, S. Karthik ²

Affiliations
1 Sathyabama University, Tamil Nadu, IN
2 Cognizant Technology solutions, Tamil Nadu, IN

Abstract

The proposed work aims in the restoration of images corrupted by Gaussian noise, impulse noise. The new algorithm significantly removes different noises and produce better image quality than standard median filter (SMF), Centre weighted median filter (CWF) and threshold decomposition filter (TDF).The proposed algorithm (PA) is tested on different images corrupted by all two noises and is found to produce better results in terms of the qualitative and quantitative measures of the image for noise densities up to 30% noise level for impulse noise, mean zero and 0.9% variance of Gaussian noise. The filter works well for speckle noise up to 0.8% variance.

Keywords

Impulse Noise, Median Filter, Threshold Decomposition, Non-Linear Filter.

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K. Vasanth ¹, S. Karthik ²

Affiliations
1 Sathyabama University, Chennai, Tamilnadu, IN
2 Cognizant Technology solutions, Chennai, Tamilnadu, IN

Abstract

A novel algorithm is proposed for the restoration of images corrupted by impulse noise; this work aims at a novel filter whose window size is fixed (3X3) for all noise densities. The new algorithm significantly produces better image quality than standard median filter (SMF), adaptive median filters (AMF), and center weighted median filter (CWMF) and threshold decomposition filter (TDF). Unlike the other filters, the proposed algorithm computes median if and only if there is a corrupted pixel and replaces it by the median value, if the median is corrupted then average of uncorrupted pixels in the current processing window is replaced else preprocessed pixel value is replaced. The proposed method removes the noise effectively even at noise level as high as 85% and preserves the edges without any loss up to 80% of noise level. The proposed algorithm (PA) is tested on different images and is found to produce better results in terms of the qualitative and quantitative measures.

Keywords

Impulse Noise, Median Filter, Adaptive Median Filter, Decision Based Filter, Weighted Filter.

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P. Ganesan ¹, B. S. Sathish ², L. M. I. Leo Joseph ³, K. M. Subramanian ⁴, V. Kalist ⁵, K. Vasanth ¹

Affiliations
1 Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, IN
2 Department of Electronics and Communication Engineering, Ramachandra College of Engineering, Eluru, IN
3 Department of Electronics and Communication Engineering, S.R.Engineering College, Warangal, IN
4 Department of Computer Science and Engineering, Shadan College of Engineering, Hyderabad, IN
5 School of Electrical and Electronics, Sathyabama University, Chennai, IN

Abstract

The segmentation of retinal blood vessels and optical disc is the most vital and challenging task to investigate the rigorousness of the various retinal diseases such as branch retinal vein occlusion. There are lot of methods and algorithms are developed to address this issue i.e., for the precise segmentation of optical disc and blood vessels. However, every method has its own pros and cons. Retinal vein occlusion (RVO) happens due to the obstruction (blockage) of veins transporting blood with required nutrients and oxygen to the nerve cells in the eye’s retina. An obstruction in any one of the four smaller branch veins is referred to as a branch retinal vein occlusion (BRVO). It is one of the main retinal illnesses next only to diabetic retinopathy. Our proposed approach is a simple image processing based detection of optical disc and retinal blood vessels of branch retinal vein occluded fundus images.

Keywords

Branch Retinal Vein Occlusion, Mathematical Morphology, Retinal Blood Vessel Segmentation, Optical Disc, Contrast Enhanced Adaptive Histogram Equalization, Median Filtering.

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K. Vasanth ¹, C. N. Ravi ¹, A. Padmaja ², M. Rajendra Prasad ¹

Affiliations
1 Department of ECE, Vidya Jyothi Institute of Technology, Aziz Nagar, Chilukur Road, Hyderabad - 500075, IN
2 Principal, Vidya Jyothi Institute of Technology, Aziz Nagar, Chilukur Road, Hyderabad - 500075, IN

Abstract

Over the years, various teaching methodologies such as socio constructive perspective, group projects, Mind Map, Z to A approach, Role play, Brown Bag were used to deliver engineering education easily to students so that they retain the concepts well. This paper deals with an effective teaching methodology named "Never Miss a Class" designed for 2K engineering students. The Method uses a video prepared by the instructor that briefs the content that happened in the class. If a student is absent for the concerned class then the instructor uploads the video to the students broadcast group on their personal phone (namely Whats app Group). The advantage of this technique is that even if the student misses the class, the video will be available with him at any time for learning. This is effective for numerical based papers in Engineering. The proposed teaching methodology is implemented on the second and third year students of Electronics and Communication Engineering of Vidya Jyothi institute of technology, Hyderabad. The effectiveness of the proposed technique is vivid when compared with other conventional teaching methodologies, when the former has good end exam results and the concept retaining capability of the students, when compared to latter. A proposed teaching methodology surpasses other methods thereby enabling the students to reproduce the concepts during their semester exam, or questioned elsewhere.

Keywords

Innovative Teaching Practices, Outcome Based Education, Learner Centric Approach.

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