Data backup using color space encoded image
Embodiments of the present disclosure can include systems, methods, and non-transitory computer program products for using color space encoded images to publish an entire book including text and images onto a single piece of paper, or onto few pieces of paper. In certain aspects, the present systems and methods allow users to perform data backup using color space encoded images. In other aspects, the present systems and methods allow users to self-publish desired content significantly cheaper by encoding the desired content using color space encoded images. In certain aspects, publishers or booksellers can include traditional books in combination with digital or electronic books distributed using color space encoded images. In other aspects, the present systems and methods allow users or administrators to compress and/or copy massive documents using color space encoded images.
1. A computer-implemented method for data backup, the method comprising:
receiving, at a capturing device, data for backup;
creating, at the capturing device, colored cells within a color space to provide an encoded representation of the received data in an image by processing the received data to obtain a stream of integers, each integer in the stream of integers corresponding to a color in the color space for a cell in the image; and
creating, at the capturing device, one or more additional cells, including color calibration cells, adjoining the encoded image, the one or more additional cells for assisting in correcting color distortion in the encoded image by determining a pseudo-Euclidean metric in the color space, the metric measuring a distance including a measure of an average of: (a) a red component in the colored cells and (b) a red component in the color calibration cells.
2. The method of claim 1 , further comprising storing the image electronically.
3. The method of claim 1 , further comprising printing the image onto a medium.
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:
Δ C 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 computer-implemented method of restoring data backed up, the method comprising:
receiving, at a processing device including a decoding module, an image having colored cells corresponding to a stream of integers encoding contents of a volume;
locating, at the decoding module, the image by locating one or more additional cells, including color calibration cells, adjoining the image; and
decoding, at the decoding module, data previously backed up based on the colored cells and the one or more additional cells adjoining the image, including correcting color distortion in the image by determining a pseudo-Euclidean metric in a color space, the metric measuring a distance including a measure of an average of: (a) a red component in the colored cells and (b) a red component in the color calibration cells.
7. The method 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:
Δ C 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
.
8. The method of claim 7 , wherein the coefficients of the pseudo-Euclidean metric are defined as X=2, Y=4 and Z=2.
9. A system for data backup, the system comprising:
memory;
storage; and
at least one processor configured to use the memory and the storage to:
receive data for backup;
create colored cells within a color space to provide an encoded representation of the received data in an image by processing the received data to obtain a stream of integers, each integer in the stream of integers corresponding to a color in the color space for a cell in the image; and
create one or more additional cells, including color calibration cells, adjoining the encoded image, the one or more additional cells for assisting in correcting color distortion in the encoded image by determining a pseudo-Euclidean metric in the color space, the metric measuring a distance including a measure of an average of: (a) a red component in the colored cells and (b) a red component in the color calibration cells.
10. The system of claim 9 , wherein the at least one processor is further configured to store the image electronically.
11. The system of claim 9 , wherein the at least one processor is further configured to print the image onto a medium.
12. The system of claim 9 , 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:
Δ C 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
.
13. The system of claim 12 , wherein the coefficients of the pseudo-Euclidean metric are defined as X=2, Y=4 and Z=2.
14. A system for restoring data backed up, the system comprising:
memory;
storage; and
at least one processor configured to use the memory and the storage to:
receive an image having colored cells corresponding to a stream of integers encoding contents of a volume;
locate the image by locating one or more additional cells, including color calibration cells, adjoining the image; and
decode data previously backed up based on the colored cells and the one or more additional cells, adjoining the image, including correcting color distortion in the image by determining a pseudo-Euclidean metric in a color space, the metric measuring a distance including a measure of an average of: (a) a red component in the colored cells and (b) a red component in the color calibration cells.
15. The system of claim 14 , 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:
Δ C 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
.
16. The system of claim 15 , wherein the coefficients of the pseudo-Euclidean metric are defined as X=2, Y=4 and Z=2.