T
E
L
KO
M
NIK
A
, V
ol
.
17
,
No.
5,
O
c
tob
er
20
1
9,
p
p.2
40
0
~
24
09
IS
S
N: 1
69
3
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6
93
0
,
accr
ed
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F
irst
Gr
ad
e b
y K
em
en
r
istekdikti,
Decr
ee
No: 2
1/E/
K
P
T
/20
18
DOI:
10.12928/TE
LK
OM
N
IK
A
.v
1
7
i
5
.
9570
◼
24
00
Rec
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A
pril
11
,
20
1
8
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ev
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N
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b
er 6
,
20
1
8
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A
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Key
w
ords
:
AES,
D
W
T,
H
u
ff
m
a
n
c
o
d
i
n
g
,
i
m
a
g
e
c
o
m
p
re
s
s
i
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n
,
i
m
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e
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te
g
a
n
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g
ra
p
h
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Copy
righ
t
©
2
0
1
9
Uni
v
e
rsi
t
a
s
Ahm
a
d
D
a
hl
a
n.
All
rig
ht
s
r
e
s
e
rve
d
.
1.
Int
r
o
d
u
ctio
n
Cur
r
en
tl
y
,
i
nf
orm
ati
on
s
ec
urit
y
i
s
w
i
de
l
y
us
ed
t
o
s
e
c
ure
or
protec
t
t
he
i
nf
orm
ati
on
.
S
e
v
era
l
c
om
m
on
as
pe
c
ts
tha
t
ex
i
s
t
i
n
i
nf
orm
ati
on
s
ec
urit
y
h
as
be
en
i
m
pl
em
e
nte
d
s
uc
h
as
c
r
y
p
tog
r
a
ph
y
a
nd
s
teg
a
no
graph
y
.
A
c
c
ordi
ng
t
o
[
1]
,
c
r
y
p
tog
r
a
ph
y
i
s
a
tec
hn
i
qu
e
th
at
a
i
m
s
to
tr
an
s
f
or
m
the
m
es
s
ag
e
b
e
c
o
m
es
the
r
an
d
om
m
es
s
a
ge
b
y
e
nc
r
y
pt
i
ng
i
t
.
On
t
h
e
ot
he
r
ha
nd
,
s
teg
an
og
r
ap
h
y
i
s
a
branc
h
of
i
nf
orm
ati
on
h
i
d
i
ng
m
eth
o
d
th
at
ai
m
s
to
c
o
nc
ea
l
t
he
m
e
s
s
ag
e
i
n
a
m
ed
i
u
m
,
s
uc
h
as
an
i
m
ag
e,
v
i
d
eo
,
au
d
i
o,
f
i
l
e
[2
-
4]
.
S
teg
an
o
grap
h
y
ha
s
t
wo
d
i
f
f
erent
k
i
nd
s
of
do
m
ai
ns
th
at
are m
os
tl
y
us
ed
, s
uc
h
as
s
pa
ti
al
do
m
ai
n
an
d f
r
eq
u
en
c
y
do
m
ai
n
[4
,
5]
.
T
he
s
pa
ti
a
l
d
om
ai
n
i
s
a
m
e
s
s
ag
e
c
on
c
ea
l
m
en
t
te
c
hn
i
q
ue
t
ha
t
di
r
ec
t
l
y
de
al
s
wi
th
the
ori
gi
n
al
p
i
x
el
or
d
ata
i
n
a
m
ed
i
um
[6]
.
On
the
oth
er
ha
nd
,
th
e
f
r
eq
ue
nc
y
do
m
ai
n
i
s
a
m
e
s
s
ag
e
c
on
c
ea
l
m
en
t
tec
hn
i
qu
e
tha
t
tr
an
s
f
orm
ed
the
ori
gi
na
l
p
i
x
el
or
da
t
a
i
n
a
m
ed
i
u
m
be
c
om
es
the
f
r
eq
ue
nc
y
[7
]
.
A
c
c
ordi
ng
to
[
8]
,
t
he
f
r
eq
ue
nc
y
do
m
ai
n
i
s
a
be
tt
er
c
on
c
ea
l
m
en
t
tec
hn
i
qu
e
t
ha
n
s
pa
t
i
a
l
do
m
ai
n
be
c
au
s
e
i
t
s
pre
ad
s
the
pi
x
e
l
area
to
c
on
c
e
al
the
m
es
s
ag
e.
Di
s
c
r
ete
W
av
el
et
T
r
an
s
form
(
D
W
T
)
i
s
the
al
go
r
i
thm
tha
t
m
os
tl
y
us
e
d
to
i
m
pl
em
en
t
the
f
r
eq
ue
nc
y
do
m
ai
n
be
c
au
s
e
i
t
h
as
the
ad
v
an
ta
g
e
whi
c
h
i
s
c
l
os
ed
to
th
e
Hum
an
V
i
s
ua
l
S
y
s
tem
(
HV
S
)
[
9,
1
0]
.
A
c
c
ordi
n
g
to
[
11
,
1
2]
,
t
he
r
e
are
s
ev
er
al
as
p
ec
ts
tha
t
s
h
ou
l
d
b
e
c
on
c
erne
d
to
ac
hi
ev
e
a
go
od
s
teg
a
no
gr
ap
h
y
r
es
u
l
t
,
s
uc
h
as
r
ob
us
t
ne
s
s
,
c
ap
ac
i
t
y
,
an
d
i
m
pe
r
c
ep
ti
bi
l
i
t
y
.
Im
pe
r
c
ep
ti
bi
l
i
t
y
i
s
v
er
y
i
m
po
r
tan
t
be
c
a
us
e
the
s
t
eg
a
no
gra
ph
y
qu
a
l
i
t
y
l
e
v
el
wi
l
l
be
tes
ted
b
y
us
i
n
g
P
S
NR
[1
3]
.
A
go
o
d
i
m
pe
r
c
ep
ti
b
i
l
i
t
y
s
h
o
ul
d
ac
h
i
e
v
e
m
ore
tha
n
40
dB
[14]
.
H
o
w
e
v
er,
D
W
T
f
or
s
teg
a
no
gra
ph
y
ha
s
a
weak
ne
s
s
w
h
i
c
h
i
s
h
as
a
l
o
w
er
c
ap
ac
i
t
y
to
c
o
nc
ea
l
a
b
i
gg
er
m
es
s
ag
e
[15]
.
T
he
w
e
ak
ne
s
s
c
an
af
f
ec
t th
e i
m
pe
r
c
ep
ti
bi
l
i
t
y
l
e
v
e
l
w
i
l
l
be
l
o
w
er
when
t
he
m
es
s
ag
e s
i
z
e t
h
at
wi
l
l
b
e c
on
c
ea
l
e
d i
s
bi
g
ge
r
, s
o n
ee
ds
a
m
eth
od
tha
t c
a
n m
i
ni
m
i
z
e
th
e
D
W
T
wea
k
ne
s
s
.
A
c
c
ordi
n
g
to
[16
]
,
i
m
ag
e
c
om
pres
s
i
on
i
s
a
tec
hn
i
q
ue
t
ha
t
c
an
be
ut
i
l
i
z
ed
t
o
de
c
r
ea
s
e
the
i
m
ag
e
s
i
z
e.
T
he
r
e
are
s
ev
era
l
a
l
go
r
i
thm
s
tha
t
c
an
be
i
m
pl
em
en
ted
,
i
nc
l
ud
i
ng
Ru
n
-
Le
n
gth
E
nc
od
i
n
g
(
RL
E
)
,
L
em
pe
l
-
Z
i
v
(
LZ)
,
Di
s
c
r
ete
Cos
i
ne
T
r
an
s
f
or
m
(
DC
T
)
,
an
d
H
uf
fm
an
Cod
i
ng
.
A
c
c
ordi
n
g
t
o
[
17
]
,
H
uf
fm
an
Cod
i
n
g
i
s
a
l
os
s
l
es
s
i
m
ag
e
c
om
pres
s
i
on
(
do
n
ot
r
em
ov
e
or
c
ha
n
ge
the
orig
i
n
al
i
nf
or
m
ati
on
)
a
nd
ea
s
y
to
i
m
pl
em
en
t.
In
the
i
m
pl
em
en
tat
i
on
of
s
t
eg
an
og
r
a
ph
y
,
the
m
es
s
ag
e
i
nt
eg
r
i
t
y
s
h
o
ul
d
be
c
o
ns
i
de
r
ed
[
18
]
,
s
o
tha
t
Huf
fm
an
Codi
n
g
c
a
n
be
a
s
ui
t
ed
Evaluation Warning : The document was created with Spire.PDF for Python.
T
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L
KO
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A
IS
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69
3
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on
c
ea
l
i
ng
t
he
m
es
s
ag
e.
Ma
n
y
p
op
ul
ar
a
l
g
orit
hm
s
tha
t
c
an
be
ap
p
l
i
ed
i
n
c
r
y
pt
og
r
ap
h
y
,
s
uc
h
as
Data
E
nc
r
y
p
ti
on
S
ta
nd
ard
(
DE
S
)
,
3
-
DE
S
,
B
l
o
w
f
i
s
h,
R
i
v
es
t
–
S
ha
m
i
r
–
A
dl
em
an
(
RS
A
)
,
R
C4,
and
A
d
v
an
c
e
d
E
nc
r
y
pt
i
o
n
S
t
an
da
r
d
(
A
E
S
)
[
19
,
20]
.
Com
pa
r
i
ng
to
t
he
o
the
r
al
g
orit
h
m
s
,
A
E
S
ha
s
a
go
od
c
r
y
p
tog
r
a
ph
i
c
a
l
go
r
i
th
m
ba
s
ed
on
i
ts
s
ec
urit
y
an
d
t
i
m
e
to
pr
oc
es
s
[21
]
.
I
n
t
hi
s
r
es
e
arc
h,
a
c
o
m
bi
na
t
i
on
of
c
r
y
pt
og
r
ap
h
y
an
d
s
teg
an
o
grap
h
y
wh
i
c
h
are
us
i
n
g
A
E
S
an
d
D
W
T
c
an
protec
t
the
m
es
s
ag
e.
On
t
he
o
th
er
ha
n
d,
u
ti
l
i
z
i
ng
H
uf
fm
an
Cod
i
ng
i
n
the
m
es
s
ag
e
be
f
ore
do
i
n
g
s
teg
an
og
r
ap
h
y
,
ho
pe
f
ul
l
y
,
c
an
i
nc
r
ea
s
e t
he
p
a
y
l
o
ad
b
y
de
c
r
ea
s
i
n
g
th
e m
es
s
ag
e b
i
t
.
2.
Res
ea
r
ch M
eth
o
d
2.1
.
Ba
sic
T
h
eor
y
2.1
.1
. Dis
cr
et
e W
av
ele
t
T
r
ansf
o
r
m (
DW
T
)
In
D
W
T
th
ere are s
e
v
era
l
f
i
l
ters
th
at
c
an
be
i
m
pl
em
en
ted
t
o p
r
oc
es
s
t
he
s
i
gn
al
an
d Ha
ar
i
s
the
s
i
m
pl
es
t
f
i
l
t
er
tha
t
m
o
s
tl
y
us
e
d.
T
he
i
m
pl
em
en
tat
i
on
of
D
W
T
i
n
the
2D
i
m
ag
e
i
s
b
y
di
v
i
di
ng
the
i
m
ag
e i
nt
o f
ou
r
s
ub
b
an
ds
, s
uc
h a
s
LL
–
LH
–
HL
–
HH
[10
,
22]
, c
a
n b
e s
ee
n i
n
F
i
gu
r
e
1
.
F
i
gu
r
e
1
.
D
W
T
s
ub
ba
nd
s
T
o
ga
i
n
t
he
c
oe
f
f
i
c
i
en
t
of
ev
er
y
s
ub
ba
n
d
c
an
be
us
ed
th
e
Ha
ar
f
i
l
ter
c
a
l
c
ul
at
i
o
n
be
l
o
w
[2
2
,
2
3]
:
(
,
)
=
(
,
)
+
(
,
+
1
)
+
(
+
1
,
)
+
(
+
1
,
+
1
)
2
(
1)
(
,
)
=
(
,
)
+
(
,
+
1
)
−
(
+
1
,
)
−
(
+
1
,
+
1
)
2
(
2)
(
,
)
=
(
,
)
−
(
,
+
1
)
+
(
+
1
,
)
−
(
+
1
,
+
1
)
2
(
3)
(
,
)
=
(
,
)
−
(
,
+
1
)
−
(
+
1
,
)
+
(
+
1
,
+
1
)
2
(
4)
w
he
r
e,
x
=
n
um
be
r
of
r
ow
,
y
=
nu
m
be
r
of
c
ol
um
n,
an
d
p =
t
he
i
m
ag
e p
i
x
e
l
.
2.1.2
.
A
d
v
anced
E
n
cr
ypt
i
o
n
S
t
and
ar
d
(
A
E
S
)
A
E
S
i
s
the
m
os
t
po
pu
l
ar
c
r
y
p
tog
r
a
ph
y
al
go
r
i
thm
tha
t
ha
s
a
go
o
d
s
ec
urit
y
l
e
v
el
an
d
the
f
as
tes
t
e
nc
r
y
pt
i
o
n
[
21
,
24]
.
G
en
er
al
l
y
,
A
E
S
h
as
f
ou
r
ac
tu
al
s
t
e
ps
,
s
uc
h
as
S
ub
B
y
tes
–
S
h
i
f
tRo
w
s
–
M
i
x
Col
um
ns
–
A
dd
R
ou
nd
K
e
y
[25
,
26]
.
V
i
s
ua
l
i
z
ati
on
of
the
e
nc
r
y
pti
on
an
d
de
c
r
y
pt
i
o
n
proc
es
s
at
A
E
S
c
an
be
s
ee
n
i
n
F
i
gu
r
e
2
a
nd
F
i
g
ure
3
.
T
o
un
d
ers
tan
d
ea
c
h
proc
es
s
i
n
A
E
S
, t
he
ex
p
l
a
na
t
i
on
are
gi
v
en
as
be
l
o
w :
a.
A
dd
Ro
un
dK
e
y
Im
pl
e
m
en
ti
ng
th
e
X
O
R
op
erati
o
n
be
t
ween
e
ac
h
c
om
po
ne
n
t
of
the
b
l
oc
k
m
es
s
ag
e
an
d
ea
c
h c
om
po
ne
nt
of
th
e
b
l
o
c
k
k
e
y
,
as
s
ho
wn i
n
F
i
gu
r
e
4
.
b.
S
ub
B
y
t
es
&
I
nv
S
u
bB
y
tes
In
the
S
u
bB
y
tes
a
nd
In
v
S
ub
B
y
tes
proc
es
s
,
i
t
c
a
n
be
pe
r
f
orm
ed
b
y
l
o
ok
i
ng
up
i
n
the
S
ub
B
y
tes
B
ox
(
S
-
B
ox
)
as
s
ho
wn
i
n
F
i
gu
r
e
5
f
or
the
S
u
bB
y
t
es
P
r
oc
es
s
a
n
d
F
i
g
ure
6
f
or
Inv
S
ub
B
y
tes
.
Evaluation Warning : The document was created with Spire.PDF for Python.
◼
IS
S
N: 16
93
-
6
93
0
T
E
L
KO
M
NIK
A
V
ol
.
17
,
No
.
5,
O
c
tob
er 20
19
:
24
0
0
-
24
09
2402
c
. S
hi
f
tRo
w
s
&
I
nv
S
h
i
f
tRo
ws
In
t
hi
s
proc
es
s
,
i
t
i
s
us
e
d
to
s
hi
f
t
or
m
ov
e
e
ac
h
m
es
s
ag
e
c
om
po
ne
nt
as
s
h
o
w
n
i
n
F
i
gu
r
e
7 f
or the
s
h
i
f
ti
ng
pro
c
es
s
an
d
F
i
g
ure
8
f
or i
n
v
er
s
e
d.
M
i
x
Col
um
ns
&
In
v
Mi
x
Co
l
um
ns
A
pp
l
y
th
e
X
O
R
o
pe
r
at
i
o
n
be
t
w
e
en
the
m
es
s
ag
e
bl
o
c
k
an
d
t
he
Mi
x
C
ol
um
ns
b
ox
f
or
the
M
i
x
Co
l
um
ns
proc
es
s
s
ho
w
n
i
n
F
i
gu
r
e
9
an
d
In
v
Mi
x
Co
l
um
ns
B
ox
f
or
the
Inv
M
i
x
Co
l
um
ns
proc
es
s
th
at
c
an
be
di
s
p
l
a
y
ed
i
n
F
i
gu
r
e
10
.
F
i
gu
r
e
2
.
A
E
S
e
nc
r
y
pt
i
on
F
i
gu
r
e
3
.
A
E
S
d
ec
r
y
pt
i
on
F
i
gu
r
e
4.
A
dd
Rou
nd
K
e
y
pr
oc
es
s
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KO
M
NIK
A
IS
S
N: 1
69
3
-
6
93
0
◼
A
n
i
mp
r
ov
ed
s
ec
urit
y
an
d
me
s
s
ag
e c
a
pa
c
i
ty
us
i
ng
A
E
S
.
.
.
(
Chr
i
s
ty
A
ti
k
a
S
ari
)
2403
F
i
gu
r
e
5
.
S
ub
B
y
tes
proc
es
s
F
i
gu
r
e
6
. I
nv
S
ub
B
y
tes
pr
oc
es
s
F
i
gu
r
e
7
.
S
hi
f
tRo
w
s
proc
es
s
F
i
gu
r
e
8
. I
nv
S
h
i
f
tRo
w
s
pro
c
es
s
F
i
gu
r
e
9
. M
i
x
Co
l
um
ns
proc
es
s
F
i
gu
r
e
10
.
In
v
Mi
x
C
ol
um
ns
proc
es
s
2.1.3
.
Hu
f
f
man
Co
d
ing
Huf
fm
an
Codi
n
g
h
as
s
e
v
e
r
al
a
dv
an
t
ag
es
,
s
uc
h
as
l
os
s
l
es
s
i
m
ag
e
c
om
pres
s
i
on
a
nd
ea
s
y
t
o
i
m
pl
em
en
t
[27]
.
I
n
the
i
m
pl
em
en
tat
i
on
,
H
uf
fm
an
Codi
ng
us
ed
th
e
oc
c
urr
en
c
e
of
ea
c
h
da
ta,
th
en
i
t
wi
l
l
be
s
ort
ed
b
y
as
c
en
d
i
n
g.
H
uf
fm
an
Codi
n
g
pr
od
uc
e
d
H
uf
fm
an
T
r
ee
t
ha
t
s
ho
ul
d
be
us
e
d t
o res
t
ore th
e d
ata
be
c
om
es
th
e o
r
i
g
i
n
al
da
ta
af
ter bei
n
g c
om
pres
s
ed
.
2.2
.
D
ata Re
sou
r
c
e
S
i
x
i
m
ag
es
w
ere
do
w
n
l
o
ad
ed
f
r
om
the
s
i
pi
.
us
c
.ed
u
s
i
te
us
ed
i
n
th
i
s
ex
pe
r
i
m
en
t,
the
i
m
ag
e i
s
s
ho
w
n
i
n
F
i
g
ure
11
.
(
a)
(
b)
(
c
)
(
d)
(
e)
(
f
)
F
i
gu
r
e
11
.
(
a)
ap
c
.p
ng
, (b)
ba
bo
on
.
pn
g,
(
c
)
bo
at.
pn
g
, (d)
f
16
.pn
g,
(
e) l
ak
e.p
n
g,
(
f
)
l
en
a.p
n
g
1
L
e
ft
S
h
i
ft
0
L
e
ft
S
h
i
ft
2
L
e
ft
S
h
i
ft
3
L
e
ft
S
h
i
ft
1
Ri
g
h
t
S
h
i
f
t
0
Ri
g
h
t
S
h
i
f
t
2
Ri
g
h
t
S
h
i
f
t
3
Ri
g
h
t
S
h
i
f
t
Evaluation Warning : The document was created with Spire.PDF for Python.
◼
IS
S
N: 16
93
-
6
93
0
T
E
L
KO
M
NIK
A
V
ol
.
17
,
No
.
5,
O
c
tob
er 20
19
:
24
0
0
-
24
09
2404
2.3
.
P
r
o
p
o
s
ed M
eth
o
d
A
c
om
bi
na
ti
o
n
of
A
E
S
,
H
uf
fm
an
Codi
ng
,
a
nd
Haar
D
W
T
w
hi
c
h
ai
m
s
to
r
ed
uc
e
t
he
tot
a
l
of
m
es
s
ag
e’
s
bi
t
i
n
s
t
eg
a
no
gra
ph
y
.
T
he
r
e
are
t
wo
m
ai
n
proc
es
s
es
,
w
h
i
c
h
are:
em
be
dd
i
ng
the
m
es
s
ag
e
pr
oc
es
s
an
d
ex
tr
ac
ti
ng
th
e
m
es
s
ag
e
pr
oc
es
s
.
T
he
s
c
he
m
e
c
an
i
n
F
i
g
ure
12
f
or
em
be
dd
i
ng
an
d
F
i
gu
r
e
1
3 f
or ex
tr
ac
ti
n
g
.
F
i
gu
r
e
12
.
E
m
be
dd
i
ng
s
c
he
m
e
F
i
gu
r
e
13
.
E
x
tr
ac
ti
ng
s
c
he
m
e
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KO
M
NIK
A
IS
S
N: 1
69
3
-
6
93
0
◼
A
n
i
mp
r
ov
ed
s
ec
urit
y
an
d
me
s
s
ag
e c
a
pa
c
i
ty
us
i
ng
A
E
S
.
.
.
(
Chr
i
s
ty
A
ti
k
a
S
ari
)
2405
2.3.1
.
E
mb
edd
ing
T
h
e
M
es
sa
g
e
P
r
o
ce
s
s
In
th
e e
m
be
dd
i
ng
proc
es
s
, th
ere ar
e s
ev
eral
s
tep
s
th
at
s
ho
ul
d b
e d
o
ne
as
f
ol
l
o
w :
−
F
i
r
s
tl
y
,
a
12
8x
12
8
pi
x
e
l
m
es
s
ag
e
i
m
ag
e
w
i
l
l
b
e
proc
es
s
ed
b
y
us
i
n
g
A
E
S
wi
t
h
a
k
ey
an
d
turns
i
nto
an
en
c
r
y
p
ted
m
es
s
ag
e i
m
ag
e.
−
Im
pl
e
m
en
ti
ng
Huf
fm
an
Co
di
n
g
i
n
an
en
c
r
y
p
ted
m
es
s
ag
e
i
m
ag
e
a
nd
produc
i
ng
t
wo
d
i
f
f
erent
r
es
ul
ts
w
h
i
c
h a
r
e
a c
om
pres
s
ed
en
c
r
y
pt
ed
m
es
s
ag
e i
m
ag
e a
nd
Huf
fm
an
tr
ee
f
i
l
e
.
−
Nex
t
s
tep
i
s
de
c
om
po
s
i
ng
a
51
2x
51
2
pi
x
e
l
c
o
v
er
i
m
ag
e
b
y
us
i
ng
D
W
T
to
ge
t
f
ou
r
s
ub
ba
nd
s
whi
c
h
are L
L,
LH
, HL,
an
d
HH.
−
F
r
o
m
a
c
o
m
pres
s
ed
en
c
r
y
pte
d
m
es
s
ag
e
i
m
ag
e
tha
t
al
r
ea
d
y
go
t,
em
be
d
i
nto
t
he
c
ho
s
en
s
ub
ba
n
ds
(
LH, H
L,
a
nd
H
H
)
an
d p
r
od
uc
e
an
em
be
dd
i
n
g
s
ub
b
an
ds
of
th
e
c
ov
er
i
m
ag
e.
−
T
he
f
i
na
l
s
t
ep
i
s
c
om
po
s
i
ng
em
be
dd
i
n
g
s
u
bb
a
nd
s
of
t
h
e
c
ov
er
i
m
ag
e
b
y
us
i
ng
In
v
ers
e
D
W
T
an
d
produc
i
ng
a s
teg
o i
m
ag
e.
2.3.2
.
E
xtrac
t
ing
T
h
e M
es
sa
g
e
P
r
o
c
es
s
F
or the
ex
tr
ac
ti
ng
proc
es
s
t
o g
a
i
n
a m
es
s
ag
e,
s
ev
era
l
s
tep
s
s
ho
u
l
d b
e f
ol
l
o
w
e
d :
−
A
s
teg
o i
m
ag
e
wi
l
l
be
proc
e
s
s
ed
b
y
us
i
n
g D
W
T
to
produ
c
e
f
ou
r
s
ub
ba
nd
s
of
s
teg
o
i
m
ag
e.
−
E
x
tr
ac
t
a
m
es
s
ag
e
f
r
o
m
the
c
ho
s
e
n
s
ub
ba
n
ds
(
LH,
H
L,
a
nd
HH)
a
nd
prod
uc
e
a
c
o
m
pres
s
ed
en
c
r
y
pt
ed
m
es
s
ag
e i
m
ag
e.
−
Nex
t
s
tep
i
s
b
y
us
i
ng
t
he
H
uf
fm
an
tr
ee
f
i
l
e
an
d
i
m
pl
em
en
ti
ng
Huf
fm
an
Codi
n
g,
de
c
o
m
pres
s
a
c
o
m
pres
s
ed
en
c
r
y
pt
ed
m
es
s
ag
e i
m
ag
e a
n
d p
r
o
du
c
i
n
g a
n
en
c
r
y
p
ted
m
es
s
ag
e i
m
ag
e.
−
F
i
na
l
l
y
,
de
c
r
y
p
ti
ng
an
en
c
r
y
p
t
ed
m
es
s
ag
e
i
m
ag
e
b
y
us
i
ng
A
E
S
w
i
th
a
k
e
y
a
nd
produc
i
ng
a
me
s
s
ag
e i
m
ag
e.
3.
R
es
u
lt
s
a
n
d
A
n
al
ys
is
3.1
.
M
eth
o
d
T
es
t
ing
In
thi
s
r
es
ea
r
c
h,
to
t
es
t
an
d
to
m
ea
s
ure
the
qu
al
i
t
y
of
s
teg
o
i
m
ag
e
wi
l
l
be
do
ne
the
c
a
l
c
ul
ati
on
us
i
ng
MS
E
an
d
P
S
N
R
b
et
w
e
en
an
o
r
i
gi
n
al
c
o
v
er
i
m
ag
e
an
d
a
s
teg
o
i
m
ag
e.
T
he
de
tai
l
s
as
f
ol
l
o
w
:
3.1.1
.
M
ea
n
S
q
u
ar
e
E
r
r
o
r
(
M
S
E
)
=
∑
=
1
∑
(
(
,
)
−
(
,
)
)
2
=
1
∗
(
5)
F
r
o
m
(
5
)
,
ac
c
ordi
ng
to
[28
]
,
ac
h
i
ev
ed
the
s
m
al
l
er
v
a
l
u
e
i
nd
i
c
a
ted
tha
t
a
s
teg
o
i
m
ag
e
i
s
m
ore c
l
os
el
y
to
be
the
s
am
e a
s
an
ori
g
i
n
al
c
o
v
er
i
m
ag
e.
3.1.2
.
P
ea
k
S
ign
a
l to
No
is
e Ra
t
io (
P
S
NR)
=
10
10
(
255
2
√
)
(
6)
A
c
c
ordi
n
g
to
[1
4]
,
t
he
hi
gh
er
the
P
S
NR
r
es
ul
t
an
d
ac
hi
e
v
e
d
m
ore
tha
n
40
d
B
i
n
di
c
ate
d
tha
t
a s
teg
o i
m
ag
e h
as
a
g
oo
d
i
m
pe
r
c
ep
ti
bi
l
i
t
y
.
3.2
.
E
xpe
r
imen
t
In
thi
s
ex
p
erim
en
t,
us
ed
al
l
t
en
i
m
ag
es
an
d
di
v
i
de
d
i
nt
o
t
w
o
d
i
f
f
erent
s
ec
ti
o
ns
,
on
e
i
m
ag
e
w
i
l
l
be
a
c
o
v
er
i
m
ag
e,
a
nd
t
he
r
es
t
w
h
i
c
h
i
s
n
i
n
e
i
m
ag
es
w
i
l
l
b
e
a
m
es
s
ag
e
i
m
ag
e.
H
ere
is
the
r
es
u
l
t
of
s
ev
era
l
ex
pe
r
i
m
en
ts
th
at
ha
v
e
be
e
n d
on
e a
s
s
ho
wn
i
n Fi
gu
r
e 1
4.
A
f
ter
i
m
pl
e
m
en
ti
ng
H
uf
fm
a
n
Codi
ng
i
n
ea
c
h
m
es
s
ag
e,
ba
s
ed
on
F
i
gu
r
e
1
4
,
the
t
ota
l
of
bi
t
s
ar
e
r
e
du
c
i
ng
an
d
ac
hi
ev
e
d
t
he
a
v
era
ge
of
the
t
o
tal
of
b
i
t
r
e
ac
he
d
u
p
to
29
,25
5
b
i
ts
f
r
o
m
13
1,
07
2
b
i
ts
or
i
t
i
s
ab
ou
t
22
.3
19
%.
A
f
ter
do
i
ng
s
ev
e
r
al
ex
pe
r
i
m
en
ts
ac
h
i
e
v
ed
t
he
av
erage
of
MS
E
r
es
ul
t
i
s
1.5
71
1
an
d
the
a
v
era
ge
of
P
S
NR
r
e
s
ul
t
i
s
4
6.1
7
88
.
A
s
s
ho
wn
i
n
T
ab
l
e
1,
the
P
S
N
R v
al
ue
m
ea
ns
th
a
t i
m
ag
e q
ua
l
i
t
y
i
s
i
n a
n e
x
c
el
l
en
t c
a
teg
or
y
.
Evaluation Warning : The document was created with Spire.PDF for Python.
◼
IS
S
N: 16
93
-
6
93
0
T
E
L
KO
M
NIK
A
V
ol
.
17
,
No
.
5,
O
c
tob
er 20
19
:
24
0
0
-
24
09
2406
F
i
gu
r
e
14
. T
ota
l
of
bi
t
s
be
f
o
r
e
–
af
ter i
m
pl
em
en
ti
ng
H
uf
fm
an
Cod
i
ng
T
ab
l
e
1
.
MS
E
a
nd
P
S
NR r
e
s
ul
ts
of
i
m
pl
em
en
ti
ng
th
e
pr
op
os
ed
m
eth
od
D
a
t
a
R
e
s
u
lt
W
i
t
h
H
u
f
f
m
a
n
C
o
d
ing
W
i
t
h
o
u
t
H
u
f
f
man
C
o
d
ing
C
o
v
e
r
M
e
s
s
a
g
e
M
S
E
P
S
N
R
M
S
E
P
S
N
R
A
p
c
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a
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o
o
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-
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B
as
ed
o
n
T
ab
l
e
2,
c
a
n
be
c
on
c
l
ud
ed
th
at
a
f
ew
pi
x
e
l
di
f
f
erenc
e
tha
t
ha
s
be
en
ac
hi
e
v
e
d
be
t
w
e
en
an
ori
gi
na
l
c
o
v
er
i
m
ag
e
an
d
a
s
teg
o
i
m
ag
e.
T
he
s
teg
o
i
m
ag
e
w
i
t
h
H
u
ffm
an
Codi
ng
al
s
o
g
av
e
th
e
ef
f
ec
t
i
n
d
ec
r
ea
s
i
ng
the
pi
x
e
l
di
f
f
erenc
e
tha
n
th
e
s
teg
o
i
m
ag
e
wi
tho
u
t
Huf
fm
an
Codi
ng
,
s
o
t
ha
t
i
n
a
h
um
an
v
i
s
ua
l
i
z
at
i
on
,
a
s
teg
o
i
m
ag
e
s
ti
l
l
l
oo
k
s
l
i
k
e
an
orig
i
n
al
c
ov
er
i
m
ag
e.
T
hi
s
propos
ed
m
eth
od
tha
t
c
on
c
ea
l
e
d
a
12
8x
12
8
pi
x
e
l
m
es
s
ag
e
i
m
ag
e
i
nto
a
51
2x
51
2 p
i
x
el
of
th
e
c
o
v
er
i
m
ag
e i
s
produ
c
ed
a
g
oo
d q
ua
l
i
t
y
of
s
teg
o
i
m
ag
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KO
M
NIK
A
IS
S
N: 1
69
3
-
6
93
0
◼
A
n
i
mp
r
ov
ed
s
ec
urit
y
an
d
me
s
s
ag
e c
a
pa
c
i
ty
us
i
ng
A
E
S
.
.
.
(
Chr
i
s
ty
A
ti
k
a
S
ari
)
2407
T
ab
l
e
2
. H
i
s
to
gram
Di
ff
erenc
e
Or
igin
a
l
C
o
v
e
r
I
m
a
g
e
Or
igin
a
l
C
o
v
e
r
H
is
t
o
g
r
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.
20
13
:
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31
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