CONFIGURATION FOR MODIFYING A COLOR FEATURE OF AN IMAGE

1 . An image editing apparatus comprising:

a processor; and

a memory having a set of instructions that when executed by the processor causes the image editing apparatus to:

generate a source image representation of a source image in a first color space comprising a best fit representation of all points in a point cloud of the source image;

generate a source characteristic measurement based upon the source image representation;

generate a destination image representation of a destination image in a second color space, the destination image being different from the source image; and

transform a destination characteristic measurement of the destination image representation based upon the source characteristic measurement of the source image representation.

2 . The image editing apparatus of claim 1 , wherein the first color space is equal to the second color space.

3 . The image editing apparatus of claim 1 , wherein the first color space is distinct from the second color space.

4 . The image editing apparatus of claim 1 , wherein the source characteristic measurement corresponds to a feature that is a subset of features corresponding to the source image representation.

5 . The image editing apparatus of claim 4 , wherein the feature is an axis from the source image representation corresponding to a color property in the first color space.

6 . The image editing apparatus of claim 5 , wherein the image editing apparatus is further caused to generate a composite destination image representation that includes the axis from the source image representation and at least one axis from the destination image representation.

7 . The image editing apparatus of claim 1 , wherein the source image representation is an ellipsoid and the destination image representation is an ellipsoid.

8 . The image editing apparatus of claim 1 , wherein the image editing apparatus is further caused to generate the source image representation and the destination image representation with principal component analysis.

9 . The image editing apparatus of claim 1 , wherein at least one of the first color space and the second color space is selected from the group consisting of: L*a*b*, RGB, YUV, HSV, HSL, and XYZ.

10 . (canceled)

11 . A method comprising:

generating, with a processor, a source image representation of a source image ( 102 ) in a first color space ( 400 ) comprising a best fit representation of all points in a point cloud of the source image;

generating, with the processor, a source characteristic measurement based upon the source image representation;

generating, with the processor, a destination image representation of a destination image in a second color space, the destination image having a distinct structure from the source image; and

transforming, with the processor, a destination characteristic measurement of the destination image representation based upon the source characteristic measurement of the source image representation.

12 . The method claim 11 , wherein the first color space is equal to the second color space.

13 . The method of claim 11 , wherein the first color space is distinct from the second color space.

14 . The method of claim 11 , wherein the source characteristic measurement corresponds to a feature that is a subset of features corresponding to the source image representation.

15 . The method of claim 14 , wherein the feature is an axis from the source image representation corresponding to a color property in the first color space.

16 . The method of claim 15 , further comprising generating a composite destination image representation that includes the axis from the source image representation and at least one axis from the destination image representation.

17 . The method of claim 11 , wherein the source image representation is an ellipsoid and the destination image representation is an ellipsoid.

18 . The method of claim 11 , further comprising generating the source image representation and the destination image representation with principal component analysis.

19 . The method of claim 11 , wherein at least one of the first color space and the second color space is selected from the group consisting of: L*a*b*, RGB, YUV, HSV, HSL, and XYZ.

20 . (canceled)

21 . A non-transitory computer-readable medium storing computer-readable program instructions for performing a method comprising:

generating, with a processor, a source image representation of a source image in a first color space comprising a best fit representation of all points in a point cloud of the source image;

generating, with the processor, a source characteristic measurement based upon the source image representation;

generating, with the processor, a destination image representation of a destination image in a second color space, the destination image having a distinct structure from the source image; and

transforming, with the processor, a destination characteristic measurement of the destination image representation based upon the source characteristic measurement of the source image representation.

22 . (canceled)

23 . (canceled)

24 . (canceled)

25 . (canceled)

26 . (canceled)

27 . (canceled)

28 . (canceled)

29 . (canceled)

30 . (canceled)