Color restoration for color space encoded image
Embodiments of the present disclosure can include devices for storing and exchanging color space encoded images. The encoded images can store input data into high capacity multi-colored composite two-dimensional pictures having different symbols organized in specific order using sets in a color space. The encoding can include performing two-level error correction and generating frames based on the color space for formatting and calibrating the encoded images during decoding. The decoding can use the frames to perform color restoration and distortion correction. The decoding can be based on a pseudo-Euclidean distance between a distorted color and a color in a color calibration cells. In some embodiments, an encoded image can be further divided into sub-images during encoding for simplified distortion correction.
1. A computer-implemented method for decoding an image using a color space, the method comprising:
receiving an image having colored cells corresponding to a stream of integers encoding data;
comparing a colored cell to one or more sample colors in one or more color calibration cells of the image;
determining an original color of the colored cell to be a sample color in the one or more color calibration cells by determining a pseudo-Euclidean metric in the color space, the metric measuring distance including a measure of an average of: (a) a red component in the colored cell and (b) a red component of the one or more sample colors in the one or more color calibration cells; and
decoding the colored cell based at least in part on the determined original color of the colored cell.
2. The method of claim 1 , further including receiving one or more additional cells, the one or more additional cells including a frame surrounding the image.
3. The method of claim 2 , the one or more additional cells including color calibration cells adjoining the image.
4. The method of claim 1 , wherein the pseudo-Euclidean metric is defined as:
Δ
C
=
(
X
+
r
_
256
)
Δ
R
2
+
Y
Δ
G
2
+
(
Z
+
255
-
r
_
256
)
Δ
B
2
wherein:
ΔC is a pseudo-Euclidean distance between two colors,
C 1 includes a red component R 1 , a green component G 1 , and a blue component B 1 ,
C 2 includes a red component R 2 , a green component G 2 , and a blue component B 2 ,
X, Y and Z represent coefficients,
ΔR=R 2 −R 1 ,
ΔG=G 2 −G 1 ,
ΔB=B 2 −B 1 , and
r
_
=
R
1
+
R
2
2
.
5. The method of claim 4 , wherein the coefficients of the pseudo-Euclidean metric are defined as X=2, Y=4 and Z=2.
6. A system for decoding an image using a color space, the system comprising:
at least one processor configured to:
receive an image having colored cells corresponding to a stream of integers encoding data;
compare a colored cell to one or more sample colors in one or more color calibration cells of the image;
determine an original color of the colored cell to be a sample color in the one or more color calibration cells by determining a pseudo-Euclidean metric in the color space, the metric measuring distance including a measure of an average of: (a) a red component in the colored cell and (b) a red component of the one or more sample colors in the one or more color calibration cells; and
decode the colored cell based at least in part on the determined original color of the colored cell.
7. The system of claim 6 , the processor further configured to receive one or more additional cells, the one or more additional cells including a frame surrounding the image.
8. The system of claim 7 , the one or more additional cells including color calibration cells adjoining the image.
9. The system of claim 6 , wherein the pseudo-Euclidean metric is defined as:
Δ
C
=
(
X
+
r
_
256
)
Δ
R
2
+
Y
Δ
G
2
+
(
Z
+
255
-
r
_
256
)
Δ
B
2
wherein:
ΔC is a pseudo-Euclidean distance between two colors,
C 1 includes a red component R 1 , a green component G 1 , and a blue component B 1 ,
C 2 includes a red component R 2 , a green component G 2 , and a blue component B 2 ,
X, Y and Z represent coefficients,
ΔR=R 2 −R 1 ,
ΔG=G 2 −G 1 ,
ΔB=B 2 −B 1 , and
r
_
=
R
1
+
R
2
2
.
10. The system of claim 9 , wherein the coefficients of the pseudo-Euclidean metric are defined as X=2, Y=4 and Z=2.
11. A non-transitory computer program product for decoding an image using a color space, the non-transitory computer program product tangibly embodied in a computer-readable medium, the non-transitory computer program product including instructions operable to cause a data processing apparatus to:
receive an image having colored cells corresponding to a stream of integers encoding data;
compare a colored cell to one or more sample colors in one or more color calibration cells of the image;
determine an original color of the colored cell to be a sample color in the one or more color calibration cells by determining a pseudo-Euclidean metric in the color space, the metric measuring distance including a measure of an average of: (a) a red component in the colored cell and (b) a red component of the one or more sample colors in the one or more color calibration cells; and
decode the colored cell based at least in part on the determined original color of the colored cell.
12. The non-transitory computer program product of claim 11 , the non-transitory computer program product further including instructions operable to cause the data processing apparatus to receive one or more additional cells including a frame surrounding the image.
13. The non-transitory computer program product of claim 12 , the one or more additional cells including color calibration cells adjoining the image.
14. The non-transitory computer program product of claim 11 , wherein the pseudo-Euclidean metric is defined as:
Δ
C
=
(
X
+
r
_
256
)
Δ
R
2
+
Y
Δ
G
2
+
(
Z
+
255
-
r
_
256
)
Δ
B
2
wherein:
ΔC is a pseudo-Euclidean distance between two colors,
C 1 includes a red component R 1 , a green component G 1 , and a blue component B 1 ,
C 2 includes a red component R 2 , a green component G 2 , and a blue component B 2 ,
X, Y and Z represent coefficients,
ΔR=R 2 −R 1 ,
ΔG=G 2 −G 1 ,
ΔB=B 2 −B 1 , and
r
_
=
R
1
+
R
2
2
.
15. The non-transitory computer program product of claim 14 , wherein the coefficients of the pseudo-Euclidean metric are defined as X=2, Y=4 and Z=2.