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  • 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
  • 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
  • Slectures
    ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]], by Maliha Hossain ...ystem_Design_Slecture_Wayner_Table_of_Contents|The Brown-Meyer Lectures on Digital System Design]], by Robert Wayner
    1 KB (196 words) - 05:26, 23 July 2013
  • ECE637 tomographic reconstruction intro S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    8 KB (1,168 words) - 07:24, 26 February 2014
  • ECE637 tomographic reconstruction S13 mhossain
    <!-- keyword: ECE 637, digital image processing --> [[Category:image processing]]
    4 KB (443 words) - 07:24, 26 February 2014
  • ECE637 tomographic reconstruction CT S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    9 KB (1,390 words) - 07:24, 26 February 2014
  • ECE637 tomographic reconstruction PET S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    6 KB (913 words) - 07:24, 26 February 2014
  • ECE637 tomographic reconstruction coordinate rotation S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    6 KB (834 words) - 07:25, 26 February 2014
  • Test page math squad
    [[Image:blah.jpg]] * C. A. Bouman. ECE 637. "Class Lecture. Digital Image Processing I". Faculty of Electrical Engineering, Purdue University, Spring 2013.
    4 KB (559 words) - 12:13, 26 September 2017
  • ECE637 tomographic reconstruction convolution back projection S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    9 KB (1,486 words) - 07:25, 26 February 2014
  • ECE637 tomographic reconstruction radon transform S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    6 KB (942 words) - 07:25, 26 February 2014
  • ECE637 tomographic reconstruction fourier slice theorem S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    9 KB (1,485 words) - 12:30, 17 April 2014
  • ECE637 MRI S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    27 KB (4,777 words) - 07:25, 26 February 2014
  • ECE637 discrete parameter signals and systems S13 mhossain
    <!-- keyword: ECE 637, digital image processing --> [[Category:image processing]]
    2 KB (278 words) - 07:26, 26 February 2014
  • ECE637 discrete parameter signals and systems discrete transforms S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    10 KB (1,726 words) - 07:26, 26 February 2014
  • Lecture Schedule ECE438Fall13 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    9 KB (1,353 words) - 09:04, 11 November 2013
  • Practice z transform computation 2 ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' [[Image:Green26 ece438 hmwrk3 power series.png|480x320px]]
    8 KB (1,313 words) - 15:19, 1 May 2016
  • ECE438 digital signal processing learning material
    [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
    4 KB (471 words) - 19:34, 9 February 2015
  • Lecture36ECE438F13
    [[Category:signal processing]] [[Category:image processing]]
    2 KB (315 words) - 06:46, 15 November 2013
  • Walther453Fall13 Topic13 paper
    ...ially the Internet, using the Internet as an information communication and processing is becoming more and more common. Traditional social affairs and business o ...ting what is being said. It provides the foundation for key management and digital signatures, both integral parts of any cryptosystem. Below is a pictorial r
    19 KB (3,051 words) - 22:23, 4 December 2013
  • ECE662 Whitening and Coloring Transforms S14 MH
    Data whitening is required prior to many data processing techniques such as [[PCA|principal component analysis]], independent compon <center>[[Image:fig1_whiten.png|750px|thumb|left|Fig 1: Scatter plots and Contours. All con
    17 KB (2,603 words) - 10:38, 22 January 2015
  • 2014 Fall ECE 438 Boutin
    = [[ECE438|ECE 438]]: Digital Signal Processing with Applications = ...% bonus by contributing a Rhea page on a subject related to digital signal processing. To pick a subject, simply write your name next to it. Your page will be gr
    13 KB (1,944 words) - 16:51, 13 March 2015
  • ECE438 Lab Fall 2014
    =Lab Wiki: [[2014_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2014= ...8: [http://engineering.purdue.edu/VISE/ee438L/lab5/pdf/lab5a.pdf Lab 5a - Digital Filter Design]
    2 KB (380 words) - 08:18, 2 December 2014
  • Lecture Schedule ECE438Fall14 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    9 KB (1,320 words) - 04:46, 11 September 2014
  • Upsampling Slecture Molveraz
    [[Category:signal processing]] In order to remove or at least attenuate the unwanted image spectra, a low pass filter must be placed immediately after upsampling. In
    5 KB (790 words) - 10:01, 14 March 2015
  • HonorsContractECE438Fall14
    [[Category:signal processing]] [[Category:image processing]]
    2 KB (259 words) - 19:30, 9 February 2015
  • Lecture38ECE438F14
    [[Category:signal processing]] ...monstrate how to use the formula using an average filter and a 6x6 digital image. The issue of the boundary conditions was discussed.
    3 KB (373 words) - 07:08, 24 November 2014
  • ECE438HonorsContractFST
    [[Image:f(x,y)_projection.jpg|650px|thumb|left|Fig 1: (a) Original Object to be Sca [[Image:FST_Slices.jpg|400px|thumb|left|Fig 2: <math>P_{\theta}(\rho)</math> at Var
    8 KB (1,252 words) - 19:26, 9 February 2015
  • HonorsContractECE438CoordinateAndRadon
    [[Image:GeometricInterpretation.jpg|400px|thumb|left|Fig 1: Geometric Interpretatio ...ransform through a parallel projection method. To start let us consider an image with density <math>f(x,y)</math> shown in Figure 2.
    5 KB (788 words) - 19:25, 9 February 2015
  • ECE438HonorsContractCT
    [[Image:CT_scanner.jpg|250px|thumb|left|Fig 1: A CT Scanner]] [[Image:CT_Internals_labeled_scaled.jpg|400px|thumb|right|Fig 2: CT Scanner Interna
    7 KB (1,072 words) - 19:25, 9 February 2015
  • HonorsContractECE438CBP
    [[Image:CBP_3D_back_projection.jpg|700px|thumb|left|Fig 1: A Projection Being Back ...ast <math>n</math> back projections for a <math>n</math> by <math>n</math> image.
    6 KB (927 words) - 19:26, 9 February 2015
  • ECE438HonorsContractMRI
    [[Image: MRI_scanner.jpg|400px|thumb|left|Fig 1: An MRI Scanner]] [[Image: MRI_atom_processsion.jpg|400px|thumb|left|Fig 2: The Procession Path of an
    14 KB (2,487 words) - 19:26, 9 February 2015
  • ECE438 Lab Fall 2015
    =Lab Wiki: [[2015_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2015= *Week 8: [[Media:lab7aECE438F15.pdf| Lab 7a - Digital Filter Design]]
    2 KB (303 words) - 13:45, 5 October 2015
  • Lecture Schedule ECE438Fall15 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    10 KB (1,356 words) - 13:19, 19 October 2015
  • ECE438 Lab Spring 2015
    =Lab Wiki: [[2015_Spring_ECE_438_Ersoy|ECE 438: Digital Signal Processing With Applications]], Spring 2015= ...5: [http://engineering.purdue.edu/VISE/ee438L/lab5/pdf/lab5a.pdf Lab 5a - Digital Filter Design]
    2 KB (384 words) - 11:44, 21 April 2015
  • 2015 Fall ECE 438 Boutin Implementation of Quantization Yitong Wang
    ...operate color quantization separately on these 3 channels, then reform the image. ...colors, the brightness value has to be rounded off to fit the size of the image.
    4 KB (626 words) - 21:58, 29 November 2015
  • Implementation of Color Quantization
    ...operate color quantization separately on these 3 channels, then reform the image. ...colors, the brightness value has to be rounded off to fit the size of the image.
    4 KB (630 words) - 22:24, 29 November 2015
  • Using filters to enhance the view of images
    we will learn how to use visual technique in Matlab to Smooth and Sharpen an image . ==1. Image Smoothing ==
    2 KB (316 words) - 00:15, 30 November 2015
  • Using Matlab to enhance images
    we will learn how to use visual technique in Matlab to Smooth and Sharpen an image . ==1. Image Smoothing ==
    2 KB (316 words) - 00:25, 30 November 2015
  • Lecture Schedule ECE438Fall16 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    10 KB (1,357 words) - 17:02, 14 September 2016
  • ECE438 Lab Fall 2016
    =Lab Wiki: [[2016_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2016= *Week 9: [[Media:lab7aECE438F15.pdf| Lab 7a - Digital Filter Design]]
    2 KB (301 words) - 14:05, 26 September 2016
  • Lecture Schedule ECE438Spring17 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    10 KB (1,357 words) - 09:45, 8 January 2017
  • 2017 Fall ECE 438 Boutin
    = [[ECE438|ECE 438]]: Digital Signal Processing with Applications = ...% bonus by contributing a Rhea page on a subject related to digital signal processing. To pick a subject, simply write your name next to it. Please do not simply
    3 KB (421 words) - 16:18, 10 December 2017
  • ECE438 Lab Spring 2017
    =Lab Wiki: [[2017_Spring_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Spring 2017= *Week 9: [[Media:lab7aECE438F15.pdf| Lab 7a - Digital Filter Design]]
    2 KB (325 words) - 18:20, 30 March 2017
  • Quantization and Classification using K-Means Clustering
    =K-Means Clustering Applications in Digital Signal Processing= ...g method. This method can be applied to implement color quantization in an image by finding clusters of pixel values. Another useful application would be au
    6 KB (903 words) - 00:02, 24 April 2017
  • ECE438 Lab Fall 2017
    =Lab Wiki: [[2017_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2017= *Week 9: [[Media:lab7aECE438F15.pdf| Lab 7a - Digital Filter Design]]
    3 KB (418 words) - 21:57, 7 January 2018
  • Use Matlab as Your Photoshop!
    ...hat provides different kind of image editing features, graphic design, and digital art. '''DIGITAL IMAGE PROCESSING (DIP)'''
    5 KB (799 words) - 20:12, 9 December 2017
  • Adobe Photoshop
    ...hat provides different kind of image editing features, graphic design, and digital art. '''DIGITAL IMAGE PROCESSING (DIP)'''
    5 KB (799 words) - 00:59, 4 December 2017
  • ECE438 Lab Spring 2018
    *Week 6: [[Media:lab7aECE438F15.pdf| Digital Filter Design 1]] ...13: [http://engineering.purdue.edu/VISE/ee438L/lab9/pdf/lab9a.pdf Speech Processing 1] - Download and use [[Media:start.wav|start.wav]] for Part 2.2 instead of
    3 KB (375 words) - 13:15, 25 January 2018
  • Signals, Systems, and Biomedical Engineering
    Biomedical signal processing aims at extracting significant information from physiological signals, whic ...and earlier detection of both heart attacks and strokes. Biomedical signal processing is most useful in the critical care setting due to patient data needing to
    12 KB (1,702 words) - 20:48, 9 April 2018
  • 2019 Fall ECE 438 Boutin
    = [[ECE438|ECE 438]]: Digital Signal Processing with Applications = ...% bonus by contributing a Rhea page on a subject related to digital signal processing. To pick a subject, simply write your name next to it. Please do not simply
    4 KB (467 words) - 02:18, 10 December 2019
  • ECE438 Lab Fall 2019
    =Lab wiki for ECE 438:Digital Signal Processing With Applications, Fall 2019= *Week 9: [[Media:lab7aECE438F15.pdf| Lab 7a - Digital Filter Design]] - [[Media:lab7agradingrubric.pdf|Lab7a cover sheet with gra
    4 KB (572 words) - 11:16, 3 December 2019
  • Lecture Schedule ECE438Fall2019 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    10 KB (1,356 words) - 18:52, 20 August 2019
  • Ece438f19achakrabortybonus
    ...This page will demonstrate how the median filter size affects the filtered image in terms of-<br /> 1) Mean Squared Error of filtered image compared to the original image<br />
    6 KB (1,000 words) - 23:15, 30 November 2019
  • Introduction to Nyquist’s Theorem
    ...and valleys, and the heights of the peaks are called amplitudes. In signal processing, there are discrete-time signals and continuous-time signals. When time is
    2 KB (375 words) - 21:03, 6 December 2020
  • Further Reading and References
    ...www.tutorialspoint.com/dip/image_processing_introduction.htm Digital Image Processing] * [https://theproaudiofiles.com/digital-audio-aliasing/ Aliasing from an Audio Engineer's Perspective]
    2 KB (257 words) - 00:56, 7 December 2020

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Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva