CSE340 CSE540 ECE 350 - Digital Image Processing
InstructorA V Subramanyam
Course includes fundamental theories and algorithms of digital image acquisition, color representation, sampling and quantization, frequency transform via DFT, enhancement, filtering, restoration, reconstruction, analysis, feature extraction, segmentation, morphological transform, and compression. Practical applications such as JPEG compression will be covered.
Learning outcomes -
Academic Dishonesty policy
Preferable, Signals and Systems (or equivalent course)
Tues: 3-3:30 PM
TA Astha Verma
TA Harsh Jain
TA Abhishek Gupta
Mtech lab 6th floor 614.
TA Yatin Sharma
Tuesday - 12:30 - 1:00 - Venue: lab B614 NAB
TA Sakshi Makkar
TA Abhilasha Srivastava
Tuesday: 12-12:30 PM
TA Aditya Singh
TA Akshita Gupta
Tuesday and Thursday from 4:00 to 4:30 pm at A-611, 6th Floor, R&D Block.
Gonzalez and Woods, Digital Image Processing, 3rd edition, Prentice Hall, 2008
Anil K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989