Contemporary Issues and Challenges in Real Time Image Processing Applications
Session Chair (s)
Dr Dammavalam Srinivasa Rao
Department of Information Technology
VNR Vignana Jyothi Institute of Engineering and Technology
Hyderabad, Telangana, INDIA
Email: srinivasarao_d@vnrvjiet.in
Dr Vinjamuri Janaki
Department of Computer Science and Engineering
Vaagdevi College of Engineering
Warangal, Telangana, INDIA
Email: janakicse@yahoo.com
Dr Nuvvusetty Rajasekhar
Department of Information Technology
Gokaraju Rangaraju Institute of Engineering and Technology
Hyderabad, Telangana, INDIA
Email: rajasekhar531@gmail.com
Cheruku Aravind
Senior Consultant, Deloitte India Pvt Ltd
Hyderabad, Telangana, INDIA
Email: aravindcheruvu@rediffmail.com, aravindcheruvu1995@gmail.com
Dr. Vangipuram Radhakrishna
Senior ACM Member, MIEEE
Department of Information Technology, VNRVJIET (Autonomous)
Hyderabad, Telangana, INDIA
Regional Editor (East Asia, Recent Advances in Computer Science and Communications, Bentham Science)
Email: radhakrishna_v@vnrvjiet.in, vangipuramradhakrishna@ieee.org
Session Description
Image processing nowadays became so important in many application areas such as Image sharpening and restoration, Medical field, Remote sensing, Transmission and encoding, Machine/Robot vision, Colour processing, Pattern recognition and many more.
In the past, several researchers proposed multiple techniques such as conventional machine learning techniques, supervised and unsupervised learning, reinforcement learning, Bayes classifier, K-means clustering, random forest, and decision tree. Recently, the rapid advancements in deep learning or deep neural networks has shown a promising performance for high resolution scenarios.
Challenge in the image processing domain is that huge voluminous of the data captured through many sources such as social media, live streaming infrastructure, satellite images is causing a great difficulty to pre-process, analyse and perform decision making. Because of these issues, the algorithms and approaches that are currently available are not sufficient to handle huge amounts of data.
Authors are encouraged to submit contributions related to any of the following recommended topics mentioned below.
Recommended Topics
The aim of this Special Issue is two-fold, as follows: firstly, this Issue shows novel applications of modern techniques for data acquisition and data visualization and, secondly, it proposes new methodologies for huge dataset processing using modern pattern recognition and machine learning approaches. (but not limited to)
- 3D Models Processing
- Augmented and Virtual Reality Applications
- Robotic Applications
- Image Fusion
- Security and Privacy in AR/VR
- Advanced Image Enhancement
- De-Noising and Low-Light Enhancement
- Advanced Image Classification and Retrieval
- Semantic Segmentation
- Image Processing
- Convolution Neural Networks
- Deep Learning Techniques
- Hyper Graph Learning
- Real-Time Image Processing
- Intelligent Image Processing for IoT
- Statistical Video and Image Processing
- Remote Sensing Applications
Paper Submission Process
Please submit your paper (in word format) at vangipuramradhakrishna@ieee.org, vrkrishna@acm.org, radhakrishna_v@vnrvjiet.in, srinivasarao_d@vnrvjiet.in with Special Session on "Contemporary Issues and Challenges in Real Time Image Processing Applications" mentioned in the subject line.