SR
Sudhakara Reddy
About
Utilizing best of my potential to achieve goals and to have job satisfaction, increasing knowledge base to work more effectively and efficiently throughout the career.
Skills & Expertise
Storage Area Networks
Software Engineering
Database Concepts
C Programming
Computer Networks
Advanced Computer Architecture
Adhoc Networks
Management Entrepreneurship
Sensor Networks
Big Data
Data Mining
Fuzzy Logic
Image Processing
Color Image Filtering
Impulse Noise Filtering
Gaussian Noise Filtering
Python
Data Analysis
Neural Networks
Step Learning
R Language
RStudio
Cyber Security
Digital Libraries
Academic Research
Research Proposal Writing
Artificial Intelligence
Swift (ios) Programming Language
NI Labview
Blockchain
IoT
Research Interests
communication
leadership
teamwork
problem solving
analytical skills
decision making
Connect With Me
Experience
Assistant Professor
Subjects Taught: Storage Area Networks, Software Engineering, Database Concepts, C Programming, Computer Networks, Advanced Computer Architecture, Adhoc Networks ,Management Entrepreneurship.
Ph.D Student in Psychology
Education
Visweswaraiah Technological University
Visweswaraiah Technological University
Visweswaraiah Technological University
Projects
FUZZY PEERGROUPSFORREDUCING MIXED GAUSSIAN-IMPULSE NOISE FOR COLOR IMAGES
Thepeergroupof an image pixel is a pixel similarity-based concept which has been successfully used to devise image denoising methods. However, since it is difficult to define the pixel similarity in a crisp way, we propose to represent this similarity in fuzzy terms. In this paper, we introduce thefuzzypeergroupconcept, which extends thepeergroupconcept in the fuzzy setting. Afuzzypeergroupwill be defined as a fuzzy set that takes apeergroupas support set and where the membership degree of eachpeergroupmember will be given by its fuzzy similarity with respect to the pixel under processing. Thefuzzypeergroupof each image pixel will be determined by means of a novel fuzzy logic-based procedure. We use thefuzzypeergroupconcept to design a two-step color image filter cascading a fuzzy rule-based switching impulse noise filter by a fuzzy average filtering over thefuzzypeergroup. Both steps use the samefuzzypeergroup, which leads to computational savings. The proposed filter is able to efficiently suppress both Gaussian noise and impulse noise, as well as mixed Gaussian-impulse noise. Experimental results are provided to show that the proposed filter achieves a promising performance.
Conferences & Seminars (13)
Cyber Security
Organized by the Department of Computer Science and Engineering, in association with Supraja Technologies held from June 19th to 24th 2020 by Sreyas Institute Of Engineering And Technology, Hyderabad.
R Language & RStudio
emerging trends in computer science and information technology
R Language & RStudio
Research Proposal Writing and Opportunities in Science, Engineering and Management
Patents (2)
Blockchain intergrated remote patient monitoring using IoT technologies
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System and Method for monitoring liquid level in a storage tank
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Publications (5)
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