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  • Lecture Schedule ECE438Fall10 Boutin
    Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. Prentice Hall, 1996. ...atization%20DFT&pg=PA218#v=twopage&q&f=true Chapter 13] of "Digital Signal Processing, Theory and Practice", by D. Sundararajan.
    9 KB (1,331 words) - 07:15, 29 December 2010
  • Zhao148
    ** Image Processing
    588 B (66 words) - 09:20, 24 August 2012
  • ECE637
    [[Category:image processing]] "Digital Image Processing I" '''
    2 KB (190 words) - 11:23, 29 May 2013
  • ECE PhD QE CNSIP 2001 Problem1.1
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (273 words) - 17:40, 13 March 2015
  • ECE PhD QE CNSIP 2001 Problem1.2
    Communication, Networking, Signal and Image Processing (CS)
    1 KB (191 words) - 17:42, 13 March 2015
  • ECE PhD QE CNSIP 2001 Problem1.3
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (928 words) - 17:46, 13 March 2015
  • Lecture35ECE438F10
    ...luded the material on speech processing. We then began talking about image processing. Since images are signals depending on two (space) variables, we defined th
    933 B (122 words) - 09:32, 11 November 2011
  • ECE438 Week13 Quiz
    [[Category:digital signal processing]] ...ind the output image that results when this filter is applied to the input image shown below:<br/>
    3 KB (398 words) - 10:43, 11 November 2011
  • Lecture37ECE438F10
    ...ressing the CSFT. We finished the class with a short introduction to image processing using an LTI system.
    1 KB (174 words) - 09:31, 11 November 2011
  • ECE438 Week14 Quiz
    [[Category:digital signal processing]] [[Image:Q3_table.jpg]]
    3 KB (515 words) - 10:43, 11 November 2011
  • Lecture38ECE438F10
    ...-space image by convolution with a function h[n,m]. We also looked at this processing from the frequency domain perspective. We looked an an example in detail (t *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]]
    808 B (107 words) - 10:56, 29 November 2010
  • Rhea Drawing App Awarded to Albert Parra
    ...and Computer Engineering. I work for Professor Delp in the Video and Image Processing Laboratory (VIPER) and for Professor Boutin in the Computational Imaging La ...or Android devices. My Research Assistant position is currently focused on Image Analysis and Machine Translation for hand-held devices (Android, iPhone, No
    2 KB (248 words) - 17:02, 27 December 2010
  • Rhea Photo Upload App Awarded to Albert Parra
    ...and Computer Engineering. I work for Professor Delp in the Video and Image Processing Laboratory (VIPER) and for Professor Boutin in the Computational Imaging La ...or Android devices. My Research Assistant position is currently focused on Image Analysis and Machine Translation for hand-held devices (Android, iPhone, No
    1 KB (236 words) - 10:36, 28 December 2010
  • ECE637:BoumanSpring08 OldKiwi
    [[Category:image processing]] ==[[ECE637]]: Digital Image Processing I, Spring 2008==
    716 B (94 words) - 08:02, 9 April 2013
  • ECE301inBME
    *'''Image and Image Processing''' – X-ray, ultrasound, MRI (magnetic resonance imaging), and CT (compute **Signal processing and filtering algorithms to create stethoscopes that function in high-noise
    17 KB (2,368 words) - 10:53, 6 May 2012
  • Lecture Schedule ECE438Fall11 Boutin
    [[Category:signal processing]] Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. Prentice Hall, 1996.
    9 KB (1,341 words) - 03:52, 31 August 2013
  • Coding for Android on Windows - Image processing - C Code
    ==[[Coding_for_Android_on_Windows|Coding for Android on Windows]]- Image processing - C++ Code== =Image processing on an Android phone - Lowpass filter an Image - C++ code=
    3 KB (486 words) - 11:58, 20 April 2012
  • DN JasonHolmes
    <center>[[Image:High_Level.jpg|left|500px]] [[Image:Low_Level.jpg|right|500px]]</center> [[Image:LRVC_Blinky_Live.jpg|200px|thumb|left|Blinky]]
    33 KB (5,764 words) - 11:55, 10 December 2011
  • Coding for Android on Windows
    ...lated to my current work in the research lab and shows you how to do image processing on an Android phone.<br /> # [[Coding_for_Android_on_Windows_-_Image_processing_-_Java_Code|Image processing on an Android phone - Java Code]]
    1 KB (209 words) - 10:03, 21 May 2013
  • MathWorksTest
    |align="bottom"|[[Image:Mathworkslogo.jpg|130px]] = <br/>[[ECE438|ECE 438]]: Digital Signal Processing with Applications =
    9 KB (1,273 words) - 20:52, 15 October 2011
  • Peer Legacy ENGR131
    ...taking ECE 438, I've done some image processing where the brightness of an image was absolutely essential in filtering applications. While there may certain
    11 KB (2,089 words) - 14:16, 16 December 2011
  • Lecture35ECE438F11
    ...monstrate how to use the formula using an average filter and a 6x6 digital image. The issue of the boundary conditions was discussed. [[Category:image processing]]
    2 KB (301 words) - 06:32, 11 September 2013
  • Audio Signal Generating and Processing Project, Previous method
    [[Category:Audio Signal Generating and Processing Project]] =Audio Signal Generating and Processing Project, Previous method=
    6 KB (931 words) - 20:33, 15 November 2011
  • Lecture36ECE438F11
    [[Category:image processing]] [[Category:digital signal processing]]
    2 KB (213 words) - 06:32, 11 September 2013
  • Hw8 ECE438F11
    d) What is the output image when this filter is applied to the following image (using symmetric boundary conditions)? ...ttom rows and also the first column I agree with your answer for the final image.
    2 KB (270 words) - 03:59, 31 August 2013
  • Lecture37ECE438F11
    [[Category:image processing]] [[Category:digital signal processing]]
    1 KB (163 words) - 06:32, 11 September 2013
  • Lecture38ECE438F11
    ...at it allows one to smooth out an image without blurring the edges of that image. [[Category:image processing]]
    1 KB (157 words) - 06:33, 11 September 2013
  • Lecture1ECE662S12
    ...ssing related problems, as many students in the class are working in image processing. We noted that in pattern recognition, one always chooses among a 'finite'
    3 KB (490 words) - 12:30, 23 February 2012
  • Similarity analysis of images
    [[Category:signal processing]] [[Category:image processing]]
    7 KB (1,124 words) - 08:44, 11 November 2013
  • Intro Prof Charles Bouman
    ..._lectures_Image_Processing_sLecture_mhossain|"The Bouman Lectures on Image Processing," by Maliha Hossain]] *[[ECE637|ECE637: Image Processing I]]
    490 B (66 words) - 04:15, 16 May 2013
  • On Principal Component Analysis
    ...wanted to understand and use principal component analysis (PCA) for image processing. He had not taken linear algebra yet; I was in the middle of taking the cou ...ortunately, no idea of the utility of what I learned in the field of image processing. But, ideally, I now do have the background to understand PCA. I have spent
    6 KB (1,043 words) - 12:45, 3 March 2015
  • Coding for Android on Windows - Image processing - Java Code
    ==[[Coding_for_Android_on_Windows|Coding for Android on Windows]] - Image processing - Java Code== =Image processing on an Android phone - Lowpass filter an Image - Java code=
    7 KB (1,278 words) - 11:57, 20 April 2012
  • Coding for Android on Windows - First projects
    ...pter: [[Coding_for_Android_on_Windows_-_Image_processing_-_Java_Code|Image Processing - Java Code]]
    7 KB (1,190 words) - 11:57, 20 April 2012
  • Lecture 13 - Kernel function for SVMs and ANNs introduction OldKiwi
    .. image:: mortiz_lec13.gif ...ocessing system. It is composed of a large number of highly interconnected processing elements (neurones) working in unison to solve specific problems. ANNs, lik
    9 KB (1,389 words) - 11:19, 10 June 2013
  • Enhanced video george zimmerman DSP discussion
    ...hought I would bring this up to the attention of the Purdue Digital Signal Processing community for discussion. As you may have heard, ABC news obtained an exclu ...h frequency details of an image run the risk of enhancing the noise in the image as well. So an important question is: are we seeing enhanced noise, or enha
    4 KB (635 words) - 09:25, 23 April 2012
  • ECE PhD Qualifying Exams
    *Communications and Signal Processing **Question 2: Signal Processing
    8 KB (952 words) - 22:00, 1 August 2019
  • ECE PhD QE CNSIP 2000 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    3 KB (406 words) - 10:19, 13 September 2013
  • ECE PhD QE CNSIP 2007 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (763 words) - 10:57, 10 March 2015
  • ECE PhD QE CNSIP 2001 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (780 words) - 01:25, 9 March 2015
  • ECE PhD QE CNSIP 2002 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (766 words) - 00:16, 10 March 2015
  • ECE PhD QE CNSIP 2003 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (729 words) - 00:51, 10 March 2015
  • ECE PhD QE CNSIP 2004 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (735 words) - 01:17, 10 March 2015
  • ECE PhD QE CNSIP 2005 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (609 words) - 01:54, 10 March 2015
  • ECE PhD QE CNSIP 2006 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (726 words) - 10:35, 10 March 2015
  • ECE PhD QE CNSIP 2008 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (632 words) - 11:05, 10 March 2015
  • ECE PhD QE CNSIP Jan 2002 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (643 words) - 11:16, 10 March 2015
  • ECE PhD QE CNSIP Jan 2001 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (616 words) - 10:19, 13 September 2013
  • ECE PhD QE CNSIP Jan 2006 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (572 words) - 10:24, 10 March 2015
  • ECE PhD QE CNSIP Jan 2004 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (748 words) - 01:01, 10 March 2015
  • ECE PhD QE CNSIP 2000 Problem1.1
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (358 words) - 10:33, 13 September 2013
  • ECE PhD QE CNSIP 2000 Problem1.2
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (638 words) - 10:34, 13 September 2013
  • ECE PhD QE CNSIP 2000 Problem1.3
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (248 words) - 10:34, 13 September 2013
  • ECE PhD QE CNSIP 2000 Problem1.4
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (282 words) - 10:34, 13 September 2013
  • ECE PhD QE CNSIP Jan 2001 Problem1.1
    Communication, Networking, Signal and Image Processing (CS) [[Image:ECE600 Note Chebyshev inequality1.jpg]]
    3 KB (532 words) - 10:36, 13 September 2013
  • ECE PhD QE CNSIP Jan 2001 Problem1.2
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (655 words) - 10:36, 13 September 2013
  • ECE PhD QE CNSIP Jan 2001 Problem1.3
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (357 words) - 10:36, 13 September 2013
  • ECE PhD QE CNSIP Jan 2001 Problem1.4
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (234 words) - 10:37, 13 September 2013
  • ECE PhD QE CNSIP Jan 2001 Problem1.5
    Communication, Networking, Signal and Image Processing (CS)
    3 KB (496 words) - 10:37, 13 September 2013
  • ECE-QE CS1-2011
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (547 words) - 16:40, 30 March 2015
  • ECE-QE CS5-2011
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    4 KB (665 words) - 10:25, 13 September 2013
  • Https://www.projectrhea.org/rhea/index.php/ECE-QE CS1-2011 solusion-1
    ...ECE Ph.D. Qualifying Exam]] in "Communication, Networks, Signal, and Image Processing" (CS) = "Communication, Networks, Signal, and Image Processing" (CS)- Question 1, August 2011
    5 KB (711 words) - 09:05, 27 July 2012
  • ECE-QE CS1-2011 solusion-1
    Communication, Networking, Signal and Image Processing (CS) "Communication, Networks, Signal, and Image Processing" (CS)- Question 1, August 2011
    8 KB (1,247 words) - 10:29, 13 September 2013
  • ECE-QE CS1-2011 solusion-2
    Communication, Networking, Signal and Image Processing (CS) "Communication, Networks, Signal, and Image Processing" (CS)- Question 1, August 2011
    6 KB (932 words) - 10:30, 13 September 2013
  • ECE-QE CS5-2011 solusion-1
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    8 KB (1,206 words) - 10:31, 13 September 2013
  • ECE-QE CS5-2011 solusion-2
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    17 KB (2,783 words) - 01:51, 31 March 2015
  • Course information ECE438F12Ersoy
    =[[ECE438|ECE 438]] Digital Signal Processing with Applications= ...can be ordered from: [http://www.lulu.com/product/paperback/digital-signal-processing-in-a-nutshell-%28volume-i%29/18805904 lulu.com].
    24 KB (3,522 words) - 07:28, 24 August 2012
  • Accelerometer
    ...w, the error of each implementation is relatively small. However, because processing time is the primary constraint for my application, the I opted for the LUT [[Image:Atan_discretization2.png | 720x560px]]
    8 KB (1,176 words) - 15:15, 1 May 2016
  • Camera LCD Interfacing
    [[Image:Reg_transfer_diagram.JPG | 720x560px]] [[Image:RGB565_transfer.PNG | 720x560px]]
    3 KB (533 words) - 15:17, 1 May 2016
  • 2013 Spring Image Processing ECE 637 Bouman
    [[Category:Image ProcessingECE 637Spring2013Bouman]] =[[ECE637]]: Digital Image Processing I, [[Intro_Prof_Charles_Bouman|Prof. Bouman]], Spring 2013=
    3 KB (370 words) - 11:22, 29 May 2013
  • Lab 1 Additional Information ECE637 Spring2013 Bouman
    * FIR: consider a sliding window pass through the entire image defined as h(m,n) that could be transformed to H(u,v) * Rule of thumb:If your image doesn't look like it is doing what it is supposed to do, it is probably wro
    3 KB (555 words) - 08:09, 9 April 2013
  • Lab 2 Additional Information ECE637 Spring2013 Bouman
    ...se the (0,0) frequency component, and thus giving us the illusion that the image is smoother.''' :A2 - As mentioned from A1. Given X~U(-0.5,0.5), to correctly display the image using 8bit gray scale, you have to make the best out of your quantization l
    5 KB (957 words) - 08:11, 9 April 2013
  • Lab 3 Additional Information ECE637 Spring2013 Bouman
    ...to make the actual component and push and pop the pixels from the original image. ...i][j] which contains 0 or 1. My question is that how to print it out as an image.
    2 KB (377 words) - 08:10, 9 April 2013
  • Lab 4 Additional Information ECE637 Spring2013 Bouman
    ;'''Q: My image looks really dark after correction. [[Category:Image ProcessingECE 637Spring2013Bouman]]
    1 KB (218 words) - 08:11, 9 April 2013
  • Lab 5 Additional Information ECE637 Spring2013 Bouman
    ...t is to be produced in section 4 for the projection coefficients. It is an image or a regular plot? The paragraph describing that procedure is not too clear ...gray scale, compared to the example. And in this case when you project an image onto this eigenvector, the projection coefficient will have the opposite si
    3 KB (496 words) - 08:12, 9 April 2013
  • Lecture1 video ECE637 Image Processing 1 Bouman
    [[Category:image processing]] =Digital Image Processing 1 ([[ECE637]])=
    618 B (72 words) - 12:51, 26 January 2013
  • Lecture11 blog ECE302S13 Boutin
    ...e finished the lecture with a short illustration of a research-level image processing problem for which discrete distributions are useful.
    2 KB (307 words) - 10:26, 4 February 2013
  • Introduction To Pattern Recognition and Classification
    '''Post Processing''' The image to the right shows the various components of a patten recognition system.
    4 KB (691 words) - 16:46, 15 February 2013
  • Lecture2 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 2 - CTFT and CSFT [[Category:Image ProcessingECE 637Spring2013Bouman]]
    233 B (29 words) - 10:06, 13 February 2013
  • Lecture3 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 3 - CSFT and Rep and Comb Relations [[Category:Image ProcessingECE 637Spring2013Bouman]]
    251 B (34 words) - 10:07, 13 February 2013
  • Lecture4 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 4 - Optical Imaging Systems [[Category:Image ProcessingECE 637Spring2013Bouman]]
    243 B (29 words) - 10:07, 13 February 2013
  • Lecture5 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 5 - Helical Scan Multislice CT and PET [[Category:Image ProcessingECE 637Spring2013Bouman]]
    254 B (33 words) - 10:07, 13 February 2013
  • Lecture6 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 6 - Tomographic Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
    246 B (30 words) - 10:08, 13 February 2013
  • Lecture7 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 7 - FPB and Magnetic Resonance Imaging [[Category:Image ProcessingECE 637Spring2013Bouman]]
    254 B (33 words) - 10:09, 13 February 2013
  • Lecture8 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 8 - MRI Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
    238 B (29 words) - 10:11, 13 February 2013
  • Lecture9 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 9 - MRI and C-programming [[Category:Image ProcessingECE 637Spring2013Bouman]]
    241 B (29 words) - 10:12, 13 February 2013
  • Lecture10 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 10 - C-programming [[Category:Image ProcessingECE 637Spring2013Bouman]]
    235 B (29 words) - 10:13, 13 February 2013
  • Lecture11 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 11 - DTFT, DSFT, Sampling, and Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
    261 B (33 words) - 10:14, 13 February 2013
  • QE637 T
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    3 KB (471 words) - 10:25, 13 September 2013
  • QE637 T Pro2
    [[Category:image processing]] ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) =
    4 KB (739 words) - 10:07, 13 September 2013
  • QE637 T Pro1
    [[Category:image processing]] ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) =
    2 KB (462 words) - 17:54, 1 May 2017
  • ECE637 Bouman lectures Image Processing sLecture mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    2 KB (246 words) - 07:21, 26 February 2014
  • ECE637 optical imaging systems S13 mhossain
    <!-- keyword: ECE 637, digital image processing --> [[Category:image processing]]
    2 KB (318 words) - 07:23, 26 February 2014
  • ECE637 optical imaging systems lens S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    8 KB (1,399 words) - 07:23, 26 February 2014
  • ECE637 optical imaging systems space domain models S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    7 KB (1,274 words) - 07:24, 26 February 2014
  • ECE637 Bouman lecture notes Foreword mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    2 KB (311 words) - 07:22, 26 February 2014
  • ECE637 optical imaging systems intro S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    3 KB (445 words) - 07:23, 26 February 2014
  • Lab1 OldKiwi
    [[Category:image processing]] ...4h1 (note h1 prints color), hit Print. Done! And remember to "use original image size". PS: I am curious if I am posting this the right way. If not, someone
    10 KB (1,756 words) - 08:05, 9 April 2013
  • Lab2 OldKiwi
    [[Category:image processing]]
    2 KB (264 words) - 08:05, 9 April 2013
  • Lab3 OldKiwi
    [[Category:image processing]]
    3 KB (456 words) - 08:05, 9 April 2013
  • Lab4 OldKiwi
    [[Category:image processing]] ...ulated Gamma on inverse of equation (5), and you should have the corrected image. Good luck!
    1 KB (201 words) - 08:06, 9 April 2013

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