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Class Lecture Notes:<br/>
 
Class Lecture Notes:<br/>
 
https://engineering.purdue.edu/~bouman/grad-labs/<br/>
 
https://engineering.purdue.edu/~bouman/grad-labs/<br/>
 +
 +
Slectures:<br/>
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[[ECE637_Bouman_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]], by Maliha Hossain
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=Lecture Videos=
 
=Lecture Videos=
Disclaimer: All the lecture videos given below are from pervious semesters posted by Prof. Bouman on youtube. The current videos are available on the distance learning website.<br/>
+
Disclaimer: All the lecture videos given below are from previous semesters posted by Prof. Bouman on youtube. The current videos are available on the distance learning website.<br/>
 
*[[Lecture1_video_ECE637_Image_Processing_1_Bouman|Video of Lecture 1]]: Introduction
 
*[[Lecture1_video_ECE637_Image_Processing_1_Bouman|Video of Lecture 1]]: Introduction
 
*[[Lecture2_video_ECE637_Image_Processing_1_Bouman|Video of Lecture 2]]: CTFT and CSFT
 
*[[Lecture2_video_ECE637_Image_Processing_1_Bouman|Video of Lecture 2]]: CTFT and CSFT

Latest revision as of 10:22, 29 May 2013


ECE637: Digital Image Processing I, Prof. Bouman, Spring 2013

More information could be found in:
http://www.ece.purdue.edu/~bouman

Class Lecture Notes:
https://engineering.purdue.edu/~bouman/grad-labs/

Slectures:
The Bouman Lectures on Image Processing, by Maliha Hossain


Lecture Videos

Disclaimer: All the lecture videos given below are from previous semesters posted by Prof. Bouman on youtube. The current videos are available on the distance learning website.


Additional Information and Q&A Sections:

Lab 1 Discussion and Additional Information

Lab 2 Discussion and Additional Information

Lab 3 Discussion and Additional Information

Lab 4 Discussion and Additional Information

Lab 5 Discussion and Additional Information

Lab 6 Discussion and Additional Information

Lab 7 Discussion and Additional Information

Lab 8 Discussion and Additional Information

Lab 9 Discussion and Additional Information


Keywords for Exams:

Exam 1:

  • CTFT DTFT (1D/2D)
  • Fourier Slices
  • Sampling and Perfect Reconstruction
  • Frequency Response (H(f)) and its variations
  • Random Processes

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