Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Santhanalakshmi, P.
- A Fuzzy Inference System Based Video Denoising
Abstract Views :264 |
PDF Views:0
Authors
Affiliations
1 Department of Information Technology, KG College of Arts and Science, Bharathiar University, Coimbatore, IN
2 Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Bharathiar University, IN
1 Department of Information Technology, KG College of Arts and Science, Bharathiar University, Coimbatore, IN
2 Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Bharathiar University, IN
Source
Fuzzy Systems, Vol 10, No 2 (2018), Pagination: 28-33Abstract
In video surveillance the video broadcasting takes a major role for inferring the information. Noise existences in the video obscure important details, due to this the quality of images are negotiated in video frames. In this regard it is important to reduce the noise from video frames. One of the video pre processing techniques is noise removal in video frames. There are several existing approaches available to different types of noises in video frames. In this proposed method we adapted the fuzzy based filtering, in this the fuzzy based noise determination and fuzzy based denoising technique is applied by generating fuzzy rule. Since there is a massive deal of eliminate noise from video content, this paper has been committed to noise detection and filtering technology with the aim of eliminate unwanted noise without distressing it unconstructively the clarity of scenes that contain essential detail and hasty motion. In this proposed work the experimental result was conducted using existing denoising filters.Keywords
Video Processing, Frames, Denoising Filters, Noise and Spatial Video.
References
- Mrs. C. Mythili,Dr. V. Kavitha, “Efficient Technique for Color Image Noise Reduction”, The research bulletin of Jordan ACM , Vol.II(III) Page|41-44.
- Jun Ohta (2008). Smart CMOS Image Sensors and Applications. CRC Press. ISBN 0849336813.
- Lindsay MacDonald (2006). Digital Heritage. Butterworth-Heinemann. ISBN 0750661836.
- Junichi Nakamura (2005). Image Sensors and Signal Processing for Digital Still
- Rafael C. Gonzalez, Richard E. Woods (2007). Digital Image Processing. Pearson Prenctice Hall. ISBN 013168728X.
- Linda G. Shapiro and George C. Stockman (2001). Computer Vision. Prentice-Hall. ISBN 0130307963.
- Charles Boncelet (2005). "Image Noise Models". In Alan C. Bovik. Handbook of Image and Video Processing. Academic Press. ISBN 0121197921.
- http://en.wikipedia.org/wiki/Image_noise
- http:/www.anirudh.net/courses/cse585/project1/ Image Filtering, Anirudh Modi, ShinChin and Ming Ni, March 21, 2000
- Hamed Vahdat Nejad, Hameed Reza Pourreza, and Hasan Ebrahimi, A Novel Fuzzy Technique for Image Noise Reduction, World Academy of Science, Engineering and Technology 21 2008
- F. Russo and G. Ramponi, A fuzzy operator for the enhancement of blurred and noisy images, IEEE Trans. Image Processing, vol. 4, pp.1169–1174, August 1995
- Information and Communication Technology
Abstract Views :57 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Applications, Sri Krishna Arts and Science College, Coimbatore., IN
2 Department of Computer Applications, Sri Krishna Arts and Science College, Coimbatore., IN
1 Department of Computer Applications, Sri Krishna Arts and Science College, Coimbatore., IN
2 Department of Computer Applications, Sri Krishna Arts and Science College, Coimbatore., IN
Source
Software Engineering, Vol 13, No 3 (2021), Pagination: 51-54Abstract
With the rapid advancement of Information and Communication Technology (ICT), the way of doing business and lifestyle has been changed over the past three decades. The best way to consider about ICT is to regard all the benefits of the digital technology that is present which is used to assist organizations or businesses and individuals. It includes any product that stores, controls, retrieves, receives or transmits information digitally. Thus, ICT has become a basic building block of the contemporary society. The aim of this paper is to identify the current status, uses of ICT as well as the challenges it is facing.References
- Abdullahi, H. (2013). The Role of ICT in Teaching Science Education in Schools. Journal of Educational and Social Research.
- Adeyoyin, S., Imam, A. and Oladapo, Y. (2010). Health workers' ICT literacy in a Nigerian University TeachingHospital.Information Technologist (The), 6(2).
- Brown, A. and Lloyd, M. (2010). SPECIAL ISSUE: Agency of information and communication technology (ICT) in enhancing teaching and scaffolding learning. Journal of Learning Design, 3(2).
- Galanouli, D. and McNair, V. (2001). Students' perceptions of ICTrelated support in teaching placements. Journal of Computer Assisted Learning, 17(4), pp.396-408.
- Garca-Valcarcel, A. (2009). Integrating ICT into the teaching-learning process. British Journal of Educational Technology, 41(5), pp.E75-E77.
- Gutiarrez, J. and Zamora, B. (2013). Improving teaching-learning process through ICT methods assisted with CFDtechniques for Marine Engineering courses. ComputApplEngEduc, p.n/a-n/a.
- Nevgi, A. (2008). University teaching staffs' pedagogical awareness displayed through ICT-facilitated teaching. Interactive Learning Environments, 16(2), pp.101-116.
- Prestridge, S. (2010). ICT professional development for teachers in online forums: Analysing the role of discussion. Teaching and Teacher Education, 26(2), pp.252-258.
- Salameh Al-Rsa'i, M. (2013). Promoting Scientific Literacy by Using ICT in Science Teaching. IES, 6(9).
- Sang,G., Valcke, M., Braak, J. and Tondeur, J. (2010). Studentteachers’ thinking processes and ICT integration: Predictors of prospective teaching behaviors with educational technology. Computers & Education, 54(1), pp.103-11.
- L.M Verdusco, Information and communication technology (ICT) literacy: Refining a construct for assessment, semanticscholar, 2016.
- K. Ratheeswari, Information Communication Technology in Education, Journal of Applied and Advanced Research, 2018.
- S.S.Sugantha Mallika, M.Priyadharshini, R.Rajan, R.Akshya, Information and Communication Technology (ICT) and Its Applications: An Overview, International Journal of Latest Technology in Engineering, Management & Applied Science, 2018.
- Gorana Celebic, Dario Ilija Rendulic, Basic Concepts of Information and Communication Technology, http://www.itdesk.info/, 2011.
- Surabhi Singh, Santosh Ahlawat and Sarita Sanwal, Role of ICT in Agriculture: Policy Implications, computerscijournal, 2017.