<s>
Epsilon	B-Algorithm
photography	I-Algorithm
is	O
a	O
form	O
of	O
computational	B-Algorithm
photography	I-Algorithm
wherein	O
multiple	O
images	O
are	O
captured	O
with	O
slightly	O
varying	O
camera	O
parameters	O
(	O
each	O
image	O
varying	O
the	O
parameter	O
by	O
a	O
small	O
amount	O
ε	O
,	O
hence	O
the	O
name	O
)	O
such	O
as	O
aperture	B-General_Concept
,	O
exposure	O
,	O
focus	O
,	O
film	O
speed	O
and	O
viewpoint	O
for	O
the	O
purpose	O
of	O
enhanced	O
post-capture	O
flexibility	O
.	O
</s>
<s>
Examples	O
of	O
epsilon	B-Algorithm
photography	I-Algorithm
include	O
focal	O
stack	O
photography	O
,	O
High	O
dynamic	O
range	O
(	O
HDR	O
)	O
photography	O
,	O
lucky	O
imaging	O
,	O
multi-image	O
panorama	B-Application
stitching	O
and	O
confocal	O
stereo	O
.	O
</s>
<s>
Since	O
Epsilon	B-Algorithm
photography	I-Algorithm
at	O
times	O
may	O
require	O
the	O
capture	O
of	O
hundreds	O
of	O
images	O
,	O
recently	O
an	O
alternative	O
called	O
Compressive	O
Epsilon	B-Algorithm
Photography	I-Algorithm
was	O
proposed	O
where	O
one	O
captures	O
only	O
a	O
select	O
few	O
images	O
instead	O
and	O
generates	O
the	O
rest	O
of	O
the	O
images	O
of	O
the	O
stack	O
by	O
making	O
use	O
of	O
prior	O
information	O
about	O
the	O
scene	O
or	O
relationship	O
among	O
the	O
images	O
in	O
the	O
stack	O
.	O
</s>
<s>
The	O
reconstructed	O
stack	O
of	O
images	O
can	O
be	O
used	O
as	O
before	O
for	O
novel	O
photography	O
applications	O
such	O
as	O
light	O
field	O
recovery	O
,	O
depth	O
estimation	O
,	O
refocusing	O
and	O
synthetic	O
aperture	B-General_Concept
photography	O
.	O
</s>
