Real time assessment of picture quality

1. A method for estimating quality of a digital image frame having pixels, where image is taken from a video stream comprising multiple images, each image frame comprises an image of the scene; where video stream was taken by a digital camera;

obtaining a first value (QI1) associated with the digital camera at the time of said image capture;

estimating a first weight (c1) associated with the first value;

analyzing the captured image for detecting or recognizing one or more objects in, or one or more characteristics of, the image;

obtaining a second value (QI2) associated with the analysis;

estimating a second weight (c2) associated with the third value;

calculating a total value according to, or based on, the first value (QI1) weighted according to first weight (c1), the second value (QI2) weighted according to second weight (c2);

comparing the total value to a threshold;

determining whether the total value is higher than, or below than, the threshold; and

acting in response to the determining;

where second weight (c2) is partially based respective values of previous images in said video.

2. The method according to claim 1 , wherein the acting comprises affecting the digital camera in response to the total value.

3. The method according to claim 1 , wherein the acting comprises providing a sound or a pre-recorded oral message to the user.

4. The method according to claim 1 , wherein the digital camera further comprises an auto-focus functionality, wherein the auto-focus functionality is coupled to the controlled by the processor, and wherein the method further comprising controlling the auto-focus functionality according to, or based on, the second value (QI2) or the total value.

5. The method according to claim 1 , wherein the acting comprises alerting a user.

6. The method according to claim 1 , wherein the acting comprises marking, transmitting or saving said image as a separate image on a tangible medium.

7. The method according to claim 1 , wherein threshold changes over image sequence based on total value.

8. The method according to claim 1 , further comprising calculating or estimating the second weight (c2) according to, or based on, the estimated error in the analyzing the captured image for detecting or recognizing objects in the image.

9. The method according to claim 1 , further comprising calculating or estimating the second weight (c2) according to, or based on, an estimated error in the analyzing of the captured image for detecting or recognizing objects in the image.

10. A method for estimating quality of a digital image frame having pixels, where image is taken from a video stream comprising multiple images, each image frame comprises an image of the scene, each frame comprises an image of the scene;

for use with a device that comprises in a single enclosure a video digital camera module or functionality that comprises an optical lens for focusing received light from a scene and an image sensor coupled to the optical lens for capturing multiple consecutive frames;

obtaining a first value (QI1) associated with the digital camera at the time of said image capture;

estimating a first weight (c1) associated with the first value;

analyzing the captured image for detecting or recognizing one or more objects in, or one or more characteristics of, the image;

obtaining a second value (QI2) associated with the analysis;

estimating a second weight (c2) associated with a third value;

calculating a total value according to, or based on, the first value (QI1) weighted according to first weight (c1), the second value (QI2) weighted according to second weight (c2);

comparing the total value to a threshold;

determining whether the total value is higher than, or below than, the threshold; and

acting in response to the determining;

wherein first value (QI1) is associated with said camera movement at the time of said image frame capture, where movements where measured by inertial measurement unit attached or part of said camera.

11. The method according to claim 10 , wherein the estimating of the first weight (c1) to the first value comprises estimating the first weight according to an estimated error in measuring or estimating the device motion associated with the motion or location sensor.

12. The method according to claim 10 , wherein the acting comprises affecting the digital camera in response to the total value.

13. The method according to claim 10 , wherein the acting comprises providing a sound or a pre-recorded oral message to the user.

14. The method according to claim 10 , wherein the digital camera further comprises an auto-focus functionality, wherein the auto-focus functionality is coupled to the controlled by the processor, and wherein the method further comprising controlling the auto-focus functionality according to, or based on, the second value (QI2) or the total value.

15. The method according to claim 10 , wherein the acting comprises alerting a user.

16. The method according to claim 10 , wherein the acting comprises marking, transmitting or saving said image as a separate image on a tangible medium.

17. The method according to claim 10 , wherein threshold changes over image sequence based on total value.

18. The method according to claim 10 , further comprising calculating or estimating the second weight (c2) according to, or based on, the estimated error in the analyzing the captured image for detecting or recognizing objects in the image.

19. The method according to claim 10 , further comprising calculating or estimating the second weight (c2) according to, or based on, an estimated error in the analyzing of the captured image for detecting or recognizing objects in the image.

20. The method according to claim 10 , wherein the motion or location sensor consists of, or comprises, an accelerometer, a gyroscope, a Global Positioning System (GPS), or a step counter.