Create the page "Digital image processing" on this wiki! See also the search results found.

  • 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

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