Image blur Wte a tunction caled blur at burs te input mage The tunchon te be caled e this output - blurtine. whore img, the input image is a two-dimensioral mante of grayscale piel values betwoen o and 255. Buring is to be camied out by averaging the pie values nte vicnty ot ery pienl Specificaly the auput pnl valannte mean of the paeta in aspane submatia of sie atahe the given piel siten the cante For ecample, iw1 then a use a a matrox that is, we average all the neighboring piolis of the given pirel and ter. Onily use valid pieis whon porticns of the biuming matofaloutside the image For ample te blumed aln componding to w1at inde (11)wld be the mean of of semerttL (1 2. .1 and a. 2 Borh mput img and sutpt autputef type uints You can download the est image here to use in MATLAB

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Image blur
Wrte a tunction caled blur rat blurs the input image The tunction a to be called ike this
output - blurting)i
whore img, the input image is a two-dimonsional matrix of grayscale pixel values betwoen O and 256. Buming is to bo carried out by avoraging the poxel values in the vicinity of
every picel. Spacifcaly, the auput pixel value is the mean of the piaeta in a square submatris tl size awri wher the given pisel sits in the center For ecample, it w 1, then we
use a 3xa matrx, that is, wo average all tho neighboring pivols of the givan pirol and itser, Orly uso valid pireis whon portions of the biuning matrx fal cutside tho image. For
example, the blumed valan commponding to w1 at indee (1,1) wle be the mean of of siemerts (1.1. (1, 21. 2.1j and (2. 21 Both mput img and mutput autput an of type
uinta.
You can download the test imago hore to uso in MATLAB,
Transcribed Image Text:Image blur Wrte a tunction caled blur rat blurs the input image The tunction a to be called ike this output - blurting)i whore img, the input image is a two-dimonsional matrix of grayscale pixel values betwoen O and 256. Buming is to bo carried out by avoraging the poxel values in the vicinity of every picel. Spacifcaly, the auput pixel value is the mean of the piaeta in a square submatris tl size awri wher the given pisel sits in the center For ecample, it w 1, then we use a 3xa matrx, that is, wo average all tho neighboring pivols of the givan pirol and itser, Orly uso valid pireis whon portions of the biuning matrx fal cutside tho image. For example, the blumed valan commponding to w1 at indee (1,1) wle be the mean of of siemerts (1.1. (1, 21. 2.1j and (2. 21 Both mput img and mutput autput an of type uinta. You can download the test imago hore to uso in MATLAB,
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