SYSTEM, METHOD, AND COMPUTER PROGRAM FOR ADJUSTING IMAGE CONTRAST USING PARAMETERIZED CUMULATIVE DISTRIBUTION FUNCTIONS

1 . A device, comprising:

a non-transitory memory storing instructions; and

one or more processors in communication with the non-transitory memory, wherein the one or more processors execute the instructions to:

compute a first histogram based on a pixel region of a first image;

compute a first cumulative distribution function based on the first histogram; and

equalize a pixel at a first location of the pixel region, wherein the first location is based on at least one of:

a preselected location, or

an object of interest.

2 . The device of claim 1 , wherein the first cumulative distribution function includes a first set of parameters.

3 . The device of claim 2 , wherein the first set of parameters further comprise an angle for each control point of the control points.

4 . The device of claim 2 , further comprising create an interpolated cumulative distribution function comprising interpolated parameters calculated by interpolating between the first set of parameters and a second set of parameters.

5 . The device of claim 4 , wherein the interpolated cumulative distribution function comprises a Bezier curve comprising interpolated control points and interpolated angles.

6 . The device of claim 4 , wherein the interpolated cumulative distribution function comprises a spline curve comprising interpolated control points.

7 . The device of claim 4 , wherein the interpolated parameters for the interpolated cumulative distribution function are weighted according to a position of the pixel at the first location of the pixel region.

8 . The device of claim 7 , wherein the weighted interpolated parameters are applied horizontally.

9 . The device of claim 7 , wherein the weighted interpolated parameters are applied vertically.

10 . The device of claim 1 , wherein during a first processing pass on the first image, the one or more processors execute the instructions to generate and store parameters, including a first set of parameters and a second set of parameters, for at least the first pixel region of the first image and a second pixel region of the first image.

11 . The device of claim 10 , wherein the first set of parameters and the second set of parameters are stored in a texture map.

12 . The device of claim 4 , wherein the interpolating comprises bicubic interpolation.

13 . The device of claim 1 , wherein the device is operable such that a first portion of pixel regions of the first image is selected based on a pixel of interest.

14 . The device of claim 13 , wherein the device is operable such that the pixel of interest is associated with an identified object.

15 . The device of claim 14 , wherein the device is operable such that a priority associated with the identified object is predetermined.

16 . A method, comprising:

computing, using a processor, a first histogram based on a pixel region of a first image;

computing, using the processor, a first cumulative distribution function based on the first histogram; and

equalizing, using the processor, a pixel at a first location of the pixel region, wherein the first location is based on at least one of:

a preselected location, or

an object of interest.

17 . A computer program product comprising computer executable instructions stored on a non-transitory computer readable medium that when executed by a processor instruct the processor to:

compute a first histogram based on a pixel region of a first image;

compute a first cumulative distribution function based on the first histogram; and

equalize a pixel at a first location of the pixel region, wherein the first location is based on at least one of:

a preselected location, or

an object of interest.