Dr. Md Amir Baig
- DEPARTMENT_STAFF.QUALIFICATION
Ph.D, M.Tech, B.Tech
- DEPARTMENT_STAFF.DESIGNATION
Assistant Professor (Contractual)
- DEPARTMENT_STAFF.THRUST_AREA
Image Processing, Image Quality Assessment
- DEPARTMENT_STAFF.ADDRESS
- DEPARTMENT_STAFF.MOBILE
9520259445
- DEPARTMENT_STAFF.EMAIL
amir.jvwu@gmail.com
- DEPARTMENT_STAFF.TIME_TABLE
Dr. Md Amir Baig is an Assistant Professor (contractual) in the Electronics Engineering section of University Women's Polytechnic at Aligarh Muslim University (AMU), Aligarh. He earned his B.Tech in Electronics and Telecommunication from B.B.I.E.T&R.C, Bulandshahr, U.P in 2007. In 2013, he received his M.Tech degree in Communication and Information Systems from Aligarh Muslim University, Aligarh. He completed his Ph.D. in Electronics in 2020/21. To date, he has published 7 articles in peer-reviewed journals and presented 6 conference proceedings. He boasts both teaching and industrial experience.
- A simple spatial domain method for quality evaluation of blurred images
- An Efficient Approach of Assessing Quality of Blurred Image
- Variance-based no-reference quality assessment of AWGN images Baig, M. A., Moinuddin, A. A., Khan and E. VARIANCE-BASED NO-REFERENCE QUALITY ASSESSMENT OF AWGN IMAGES. Signal, Image and Video Processing. 2023 Apr 19, pp.1-9
- A versatile blind JPEG image quality assessment method Authors: MA Baig, AA Moinuddin, E Khan, M GhanbariJournal: Multimedia Tools and Applications, 2023
- DFT-based no-reference quality assessment of blurred images Download PDF
- Real-Time Fidelity Measurement of JPEG2000 Coded Images Baig MA, Moinuddin AA, Khan E. Real-Time Fidelity Measurement of JPEG2000 Coded Images. International Journal of Image and Graphics. 2019 Jan 28;19(01):1950005.
- Image fidelity estimation from received embedded bitstream Baig MA, Moinuddin AA, Khan E, Ghanbari M. Image fidelity estimation from received embedded bitstream. Signal, Image and Video Processing. 2020 Apr;14(3):465-72.