NYU-Poly, Electrical & Computer Engineering
EL5123 /BE6223 ---- Image Processing, Fall 2013

Course Description:  This course introduces basic concepts and techniques in digital image processing: image acquisition and display using digital devices, properties of human visual perception, sampling and quantization, sampling rate conversion, contrast enhancement, two-dimensional Fourier transforms, linear and nonlinear filtering, morphological operations, noise removal, image deblurring, edge detection, image registration and geometric transformation,  and multiresolution representation using wavelets, and image compression (including the JPEG and JPEG2000 standard). Students will learn to implement some image processing algorithms on computers using C-programming or MATLAB.

Prerequisites: EE 3054 (Signals, Systems, and Transforms), Knowledge of basic matrix operations and probability; basic programming skill; senior or graduate student status. This course can be used to form a two-course sequence with EL6122 or EL5823.

Course Instructor:

Yao Wang, Office: 2MTC 9.107, email: yao at poly.edu, tel: 718-260-3469, homepage: http://eeweb.poly.edu/~yao


Teaching Assistant:

Fanyi Duanmu, email: dmfynyu@gmail.com



Mon. 10:20 AM – 12:50 PM, 2 MTC 9.011

Office Hour:

2MTC 9.007, Mon. 4:30-5:30, Wed. 4:30-5:30, or by appointment.

Text Book: R. C. Gonzalez and R. E. Woods, Digital Image Processing, Prentice Hall, (3rd Edition) 2008.  ISBN number 9780131687288. (If you already have the 2nd ed, you can use it.)

Recommended Readings: A. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989 (for more mathematical and comprehensive treatment than Gonzalez and Woods) (available at Poly Library)

Homework Policy: Weekly written and/or computer programming assignment, due the following week or as specified. (Late submission will not be accepted.

Grading Policy: Exam 1 40%, Exam 2 (non-cumulative) 40%, Homework 20% (Programming assignment 10%, others 10%)

Course Schedule



Last updated: 9/3/2013, Yao Wang