Page title matches

  • =='''INTERPLAY OF IMAGES AND FILTERS''' == ...did images look so bright? Until Professor Boutin introduced the topic of "Filters" in her ece 438 class,i had never thought of images the way i do now,before
    3 KB (426 words) - 06:03, 14 October 2009
  • %%%%%%%%%%%%%%%%%%%%%%%%%%% CODE FOR THE AVERAGE & EDGE DETECTOR FILTERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    787 B (108 words) - 06:06, 14 October 2009
  • This page will explore the use of some non-linear filters for face-enhancement, such as the Perona-Malik filter that preserve sharpne
    235 B (33 words) - 22:21, 6 December 2009
  • 2 KB (316 words) - 00:15, 30 November 2015
  • == ''' Digital Filters: An Introduction ''' == ...filters over analog ones is that digital filters can satisfy criteria for filters far better than analog ones. This slecture hopes to share characteristics i
    6 KB (897 words) - 16:44, 7 December 2017

Page text matches

  • :"Designing Perceptually-Based Image Filters in the Modulation Domain"
    5 KB (656 words) - 14:36, 4 May 2011
  • [[Category: Filters]] ==Types of Filters==
    462 B (55 words) - 17:27, 23 April 2013
  • ==[[ECE 301 Fall 2007 mboutin Filter Types|Types of Filters]]==
    264 B (30 words) - 13:07, 9 December 2008
  • ...frequency of a filter (<math>\omega_c > 0</math>). (For instance, lowpass filters are nonzero in the range <math>\omega \in [-\omega_c, \omega_c]</math>.)
    2 KB (406 words) - 11:08, 12 November 2010
  • ...438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of CSFT of some basic 2D filters]]
    7 KB (1,067 words) - 12:05, 25 June 2010
  • ...of signals and systems. They are of special importance when implementing filters. These equations are of the form:
    2 KB (401 words) - 17:16, 21 April 2013
  • ...frequency of a filter (<math>\omega_c > 0</math>). (For instance, lowpass filters are nonzero in the range <math>\omega \in [-\omega_c, \omega_c]</math>.)
    1 KB (178 words) - 19:31, 23 November 2008
  • ...continuous time filters (represented in Laplace space) into discrete time filters (represented in z space), and vice versa. To do this, you can use the follo
    3 KB (537 words) - 17:27, 3 December 2008
  • I was just wondering how people are implimenting the filters. It seems that you need a 2D convolution function. So you can take the 2d f
    10 KB (1,738 words) - 22:44, 7 April 2008
  • * DT implementation of CT systems/filters
    5 KB (643 words) - 11:55, 6 August 2009
  • * [[DT implementation of CT filters]]
    1 KB (118 words) - 01:11, 30 July 2009
  • * Of course, filters are not ideal in the real world, and instead of a constant A in the pass-ba ==Filters in MATLAB==
    7 KB (1,251 words) - 11:54, 21 September 2012
  • ...d signal must be quanitized before discretization. This is because digital filters are limited in what numbers they can represent. This depends on the number ...periodic with respect to <math>2\pi</math>. This is because discrete time filters are periodic with respect to <math>2\pi</math>. The reason can be seen belo
    8 KB (1,452 words) - 06:49, 16 September 2013
  • The problem with analog low pass filters is that higher the order, the more resistors, capacitors, and op-amps are r
    5 KB (840 words) - 19:08, 22 September 2009
  • =='''INTERPLAY OF IMAGES AND FILTERS''' == ...did images look so bright? Until Professor Boutin introduced the topic of "Filters" in her ece 438 class,i had never thought of images the way i do now,before
    3 KB (426 words) - 06:03, 14 October 2009
  • %%%%%%%%%%%%%%%%%%%%%%%%%%%% CODE FOR THE AVERAGE & EDGE DETECTOR FILTERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    782 B (107 words) - 06:01, 14 October 2009
  • %%%%%%%%%%%%%%%%%%%%%%%%%%% CODE FOR THE AVERAGE & EDGE DETECTOR FILTERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    787 B (108 words) - 06:06, 14 October 2009
  • ...FFT of Lena looks like.</u></big><br><br> We will look at some simple 3X3 filters that are then convolved with the original image to create a filtered image. <big><u>Let's look at a few other filters briefly:</u></big>
    8 KB (1,397 words) - 11:23, 18 March 2013
  • =DSFT of some basic filters=
    1 KB (163 words) - 12:50, 26 November 2014
  • This page will explore the use of some non-linear filters for face-enhancement, such as the Perona-Malik filter that preserve sharpne
    235 B (33 words) - 22:21, 6 December 2009

View (previous 20 | next 20) (20 | 50 | 100 | 250 | 500)

Alumni Liaison

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

Francisco Blanco-Silva