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@O REDMINOTES
Leela Nay me
ytnesy) tne degradation is modelled as an
m,
(say) = f(9) HC
Here *is convolution operation. in LSI syste
{Wh has the following properties!
1. Hisalinear operator ;
2. {tobeys the rules of homogene'lly
“3. tis position-invariant.
By applying the Fourier transform, the equation i
G(u,v) =F(u.v)>H(uy)+N(U¥) .
The original image can be retrieved by rearranging the equation to get
G(u,v)_N(wv)
F(u,v)= Me :
ean rier tra
i Four
The originalimaged f(x,y) can be obtained by applying an inverse
een called inverse filtering. The
inthe frequency domain becom
F(u, v), The idea of removing both noise and blur is j
concept ofimage restoration revolves around estimating the degradation function ft
There are three (3) basic principle ways to estimate the degradation function
in image restoration >
(0, Observation hii
(2) Experimentation zi +
(8) Mathematical Modeling
timation by Imago Observ tion
pple, the image's blured, we ean look ata small rectangular section |
reduce the effect ee oo. a
lec. T rox sip mou bn oes he sone ene
te ¥
blurred as possible. For example, we can
A sharpening filter and even by processi
mage be denoted by g, (x,y), and |
CO AI QUAD CAMERA era
cee
edits Pm ineet ns
d pines tees
Fig. Types of degradations.
6.3.1. Noise Modelling
Noise is a disturbance which causes fluctuations in the pixel values. Hence the pix
jom variations and this cannot be avoided Hence, suitable stré
| values show rar
should be! designed fomodel and manage noise. Noise can be viewed in multiple
‘Some the frequent ‘Gaussian probability distributive function.
j i ith speckle noise
cme ranger noeot variance
(a)
fein ate catohene Due to th heal
Of photons is not constant. This causes variations in photon
@O REDMINOTES
Comune a7) VuaW¥2 GYND Ivy CO
CEP Meet Been ) rendre
(Semel ete ents the hue. - ‘
model can be converted to the HSV model using the following pra
J Vu3W) GVND Iv
ESRC II (cE iO) ie RGB values of a point be (0.4, 06, 0.8). Find the HSV equivalent of
verify whether the original point can be obtained by the inverse transform
O RGB. :
lues are R = 0.4,G = 0.6, and B=0.8-
B} = max {0.4,0.6,0.8} = 0.8
