Method and apparatus for automatic prediction of dynamic exposure

1. A method, comprising:

providing an image to an electronic device comprising at least one processor;

transforming the image by the electronic device;

determining a similarity score by the electronic device, wherein the similarity score corresponds to a comparison of the image and the transformed image; and

predicting, by the electronic device, a camera setting based on the determined similarity score.

2. The method of claim 1 wherein the transforming of the image comprises a gamma transformation of the image.

3. The method of claim 1 wherein the similarity score comprises a structural similarity index (SSIM).

4. The method of claim 1 wherein the comparison of the image and the transformed image comprises a measure of the loss of information.

5. The method of claim 1 wherein the predicting of the camera setting comprises predicting a camera exposure setting.

6. The method of claim 1 wherein the camera setting comprises one or more of, an extremely bright, a bright setting, a normal setting, a dark setting, a very dark setting, and an extremely dark setting.

7. The method of claim 1 further comprising a threshold function wherein threshold values of the similarity score correspond to different camera settings.

8. An apparatus, comprising:

at least one processor; and

at least one memory including computer program code

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following:

transform an image;

determine a similarity score, wherein the similarity score corresponds to a comparison of the transformed image and another image; and

predict a camera setting based on the determined similarity score.

9. The apparatus of claim 8 wherein the transformed image comprises a gamma transformed image.

10. The apparatus of claim 8 wherein the similarity score comprises a structural similarity index (SSIM), wherein a SSIM value is a continuous scale.

11. The apparatus of claim 8 wherein the comparison of the images comprises a measure of the loss of information.

12. The apparatus of claim 8 wherein the camera setting comprises five or more camera exposure settings.

13. The apparatus of claim 8 wherein the camera setting comprises one or more of, an extremely bright, a bright setting, a normal setting, a dark setting, a very dark setting, and an extremely dark setting.

14. The apparatus of claim 8 wherein a threshold function comprises threshold values of the similarity score which correspond to different camera settings.

15. The apparatus of claim 8 wherein the apparatus comprises an electronic device.

16. A computer program product comprising a non-transitory computer-readable medium bearing computer program code embodied therein for use with a computer, the computer program code comprising:

code for transforming an image;

code for determining a similarity score, wherein the similarity score corresponds to a comparison of the transformed image and another image; and

code for predicting a camera setting based on the determined similarity score.

17. The computer program product of claim 16 wherein the transforming of the image comprises a gamma transformation of the image.

18. The computer program product of claim 16 wherein the similarity score comprises a structural similarity index (SSIM) having a continuous scale.

19. The computer program product of claim 16 wherein the comparison of the image and the transformed image comprises a measure of the loss of information.

20. The computer program product of claim 16 wherein the predicting of the camera setting comprises predicting a camera exposure setting.