System and method for producing and improving images
A method for displaying images includes adjusting at least one characteristic of an image from a first imaging device of an endoscope to match at least one corresponding characteristic of an image from a second imaging device of the endoscope. The at least one characteristic may be one or more of color, contrast and brightness. An endoscopic system includes an endoscope including a first imaging device and a second imaging device, and a display device that displays an image from the first imaging device of the endoscope and an image from the second imaging device of the endoscope, wherein the images are sized so that an object, when placed at the same distance from the imaging devices, appears to have about the same size in the images.
1. A method for matching image characteristics, comprising:
acquiring a first image from a first imaging sensor of an endoscope;
acquiring a second image from a second imaging sensor, wherein the second imaging sensor faces the first imaging sensor; and
using a controller that has been pre-programmed with an algorithm to dynamically adjust images in real-time to adjust at least one characteristic of the second image to match at least one corresponding characteristic of the first image.
2. The method of claim 1 , wherein the characteristic is color.
3. The method of claim 1 , wherein the characteristic is contrast.
4. The method of claim 1 , wherein the characteristic is brightness.
5. The method of claim 1 , wherein the at least one characteristic includes first and second characteristics.
6. The method of claim 5 , wherein the first and second characteristics are color and contrast.
7. The method of claim 5 , wherein the first and second characteristics are color and brightness.
8. The method of claim 5 , wherein the first and second characteristics are contrast and brightness.
9. The method of claim 5 , wherein the at least one characteristic includes first, second and third characteristics.
10. The method of claim 9 , wherein the first, second and third characteristics are color, contrast and brightness.
11. The method of claim 1 , wherein the adjustment is performed continuously in real time.
12. The method of claim 1 , wherein the algorithm includes:
creating a histogram for each of RGB colors for the first image and a histogram for each of the RGB colors for the second image;
adjusting the gamut of each histogram of the second image to match the gamut of the corresponding histogram of the first image; and
using gamma coefficients to adjust a color level of each histogram of the second image to match a color level of the corresponding histogram of the first image.
13. An endoscopic system comprising:
a first imaging sensor of an endoscope;
a second imaging sensor, wherein the second imaging sensor faces the first imaging sensor; and
a controller that has been pre-programmed with an algorithm to dynamically adjust, in real-time, at least one characteristic of an image from the second imaging sensor to match at least one corresponding characteristic of an image from the first imaging sensor of the endoscope.
14. The system of claim 13 , wherein the characteristic is color.
15. The system of claim 13 , wherein the characteristic is contrast.
16. The system of claim 13 , wherein the characteristic is brightness.
17. The system of claim 13 , wherein the at least one characteristic includes first and second characteristics.
18. The system of claim 17 , wherein the first and second characteristics are color and contrast.
19. The method of claim 17 , wherein the first and second characteristics are color and brightness.
20. The system of claim 17 , wherein the first and second characteristics are contrast and brightness.
21. The system of claim 17 , wherein the at least one characteristic includes first, second and third characteristics.
22. The system of claim 21 , wherein the first, second and third characteristics are color, contrast and brightness.
23. The system of claim 13 , wherein the controller algorithm includes:
creating histogram for each of RGB colors for the image from the first imaging sensor and a histogram for each of the RGB colors for the image from the second imaging sensor;
adjusting the gamut of each histogram of the image from the second imaging sensor to match the gamut of the corresponding histogram of the image from the first imaging sensor; and
using gamma coefficients to adjust a color level of each histogram of the image from the second imaging sensor to match a color level of the corresponding histogram of the image from the first imaging sensor.