Color Engineering Lab    
 
 
 

State Key Lab of Modern Optical Instrumentation
College of Optical Science and Engineering
Zhejiang University

   
 
 

Safdar Muhammad

PhD Student

Profile:
Mr. Muhammad Safdar received his MSc and MPhil degrees both from Department of Electronics, Quaid-i-Azam University, Islamabad, Pakistan. After his Master degree he joined COMSATS Institute of Information Technology, Sahiwal Campus, as Lecturer in Computer Science. He is currently a PhD student at Department of Optical Engineering, Zhejiang University, Hangzhou, China. His research interests include color imaging science and illumination engineering.

 

Research Area:
Mr. Muhammad Safdar is doing PhD thesis entitle ¡®Image based Methods for Measuring Appearance¡¯. He has developed camera based methods to measure spectral reflectance, light appearance, and visual discomfort. He has developed RGB camera and LED illumination based multispectral imaging system. He used RGB camera to measure indoor light appearance and also measured absolute intensities of light using HDR imaging. He has proposed a physiology based computational model to predict visual discomfort from a luminance image of the scene. He has primarily authored 10 research papers in relation with imaging science and illumination engineering.

Journal Publications:
1. Muhammad Safdar, M. R. Luo, Y. Zhu, and X. Y. Liu, ¡°Digital Camera-Based Appearance Meter (AppMeter)¡±, Lecture Notes in Electrical Engineering, vol. 369, pp. 87-94, 2015.
2. Muhammad Safdar, M. R. Luo, Y. Zhu, and X. Y. Liu, ¡°Obtaining Absolute Scene Luminance Using HDR Imaging¡±, Lecture Notes in Electrical Engineering, vol. 369, pp. 133-138, 2015.
3. Muhammad Safdar, LUO M. R., and LIU X. Y., ¡°Improvement of JPEG for Color Images by Incorporation of CAM02-UCS and Cubic Spline Interpolation¡±, Applied Mechanics and Materials, vol. 731, pp.7-12, 2015.

Conference Publications:
1. Muhammad Safdar, M. R. Luo, and M. F. Mughal, ¡°The Human Vision Model to Predict Discomfort Glare From Luminance Image¡±, CIE Lighting Quality and Energy Efficiency Conference, Mar 3-5, 2016, Melbourne, Australia. (Accepted)
2. Muhammad Safdar, M. R. Luo, and X. Y. Liu, ¡°Performance Evaluation of JPEG, JPEG2000, and new CSI-JPEG Algorithms by Incorporating Different Color Spaces¡±, Proc. of the 23rd Color Imaging Conference, October 19-23, 2015, Darmstadt, Germany, pp. 219-223.
3. Muhammad Safdar, M. R. Luo, Y. Zhu, H. Li, M. F. Mughal, and X. Y. Liu, ¡°Using RGB Digital Camera to Measure Appearance¡±, Proc. of the 28th CIE Session, June 28 ¨C July 04, 2015, Manchester, UK, pp.254-258.
4. Muhammad Safdar, M. R. Luo, Yuzhao Wang, and X. Y. Liu, ¡°Multispectral Imaging System based on Tunable LEDs¡±, Proc. of the AIC/MCS2015, May 18-22, 2015, Tokyo, Japan, pp.367-371.
5. Muhammad Safdar, M. R. Luo, and X. Y. Liu, ¡°Comparing CSI and PCA in Amalgamation with JPEG for Spectral Image Compression¡±, Proc. of the AIC/MCS2015, May 18-22, 2015, Tokyo, Japan, pp.1253-1257.
6. Muhammad Safdar, M. R. Luo, and X. Y. Liu, ¡°Using Different Color Models to Test JPEG and Modified JPEG¡±, Proc. of the 22nd Color Imaging Conference, Nov 3-7, 2014, Boston, USA, pp.189-193.
7. Muhammad Safdar, M. R. Luo, H. Li, L. Xu, Y. Yang, ¡°An Imaging Method For Measuring Room Appearance¡±, Proc. of the 7th CJK Lighting Conference, August 22-23, 2014, Tianjin, China, Paper No. P14.

Contact Information:
Addr: Rm 313, No. 3 Teaching Building,
Yuquan Campus, Zhejiang Unversity,
Hangzhou 310027, China

Email: msafdar87@gmail.com

 

 
Copyright©2012 Color Engineering Center
Address£ºRm435,No.3 Teaching Building, College of Optical Science and Engineering,
Zhejiang University, 38 ZheDa Road, HangZhou310027, China
Voice£º+86-571£­87952225 Email£ºlindajin@zju.edu.cn