“Color Image Processing using sRGB sub-divided space ...

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6 Νοε 2013 (πριν από 3 χρόνια και 1 μήνα)

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“Color Image Processing using sRGB sub
-
divided space technique”

P. Cunthasaksiri*, A. Hansuebsai*, P. Pungrassamee* and Y. Ando**

*Department of
Imaging
and
Printing
Technology
, Faculty of
Science
, Chulalongkorn University


**Canon Group Technology Management Center, Canon Inc. (Japan)


Abstract


As sRGB becomes the standard color space
for
imaging

system
s
, the process of gamut
mapping among
the
device
s

may be
come

unnecessary. Thus, it is suggested that colo
r
transformation
s

of
the
data
be

basically

non
-
linear. This research proposes a new method to
characterize a color
-
imaging output device between profile connection space (PCS) and device
color space. The PCS is separated into 2

types of sub
-
divided
sRGB color space
, t
ri
-
linear

and

tetrahedral
,

which
are
divided by a plane of R+G+B=384. Each obtained sub
-
divided space
contains color slices, which have
similar
spatial characteristics.
To retrieve matrix coefficients of
each sub
-
divided space
,

r
egression analysis
,

both linear and
non
-
linear

(2nd and 3rd order), was
applied, whereby their

results were compared. It
was
found that color difference

was

remarkably
reduced
for
higher degree

polynomial
s
, particularly compared
to
the
conventional method that
does not use the sub
-
divided
-
space technique.