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Additional post-processing stage using a median filter was investigated and proved to be useful in significantly reducing the errors of the produced disparity images.
Preprocessing of the image using a median filter.
Preprocessing of the image using a median filter for noise removal.
This finite state machine smooths the input probabilities given by the MLP using a median filter over a small window.
The following are the steps in experiment 2 for compressed images: 1. Preprocessing of the image using a median filter 2.
The following are the steps in experiment 1 for uncompressed images: 1. Preprocessing of the image using a median filter for noise removal 2.
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To simulate the depth of field, each object, p i, is assigned a z position, z i, using a median filtered Perlin noise image, scaled to encompass the desired depth in the image.
Instead, we used a median filter, because it is the simplest method and it was found to give good results.
The presence of simple Gaussian noise is commonly reduced using a median-filter [4] but to counter varying illumination additional filtering must be used.
Based on [33], Miyazaki et al. [35] used a median filtering approach similar to LMS but also considering neighbouring pixels.
The image was processed using the LASAF software using a median noise filter with 3 iterations at 3 pixels.
More suggestions(15)
using a digital filter
using a median operator
using a median value
using a highpass filter
using a median intensity
using a Gaussian filter
using a median polish
using a microfabricated filter
using a median line
using a median variable
using a median split
using a cultural filter
using a median incision
using a median software
using a median growth
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