Electronic apparatus and image processing method

1. An electronic apparatus comprising:

circuitry configured to:

calculate a weighted average image from a first image, a second image and a third image, by using a weight based on a first difference between the first image and the second image and a second difference between the first image and the third image; and

apply, based on the weight, an image quality process of a first intensity to a first position in the weighted average image, apply, based on the weight, an image quality process of a second intensity to a second position in the weighted average image, the second intensity weaker than the first intensity, and apply, based on the weight, an image quality process of a third intensity to a third position in the weighted average image, the third intensity weaker than the second intensity.

2. The electronic apparatus of claim 1 , wherein the circuitry is configured to further apply a sharpening process to the weighted average image, based on the weight.

3. The electronic apparatus of claim 2 , wherein the circuitry is configured to apply, based on the weight, a sharpening process of the first intensity to the third position, to apply a sharpening process of the second intensity to the second position, and to apply a sharpening process of the third intensity to the first position.

4. The electronic apparatus of claim 1 , wherein the circuitry is configured to calculate a first weight based on the first difference and a second weight based on the second difference, and

to calculate a first weighted average image between the first image and the second image by using the first weight, to calculate a second weighted average image between the first image and the third image by using the second weight, and to use an average image between the first weighted average image and the second weighted average image as the weighted average image.

5. The electronic apparatus of claim 4 , wherein the circuitry is configured to calculate an average weight between the first weight and the second weight, and

to apply, based on the average weight, the image quality process of the first intensity to the first position, apply, based on the average weight, the image quality process of the second intensity to the second position, and apply, based on the average weight, the image quality process of the third intensity to the third position.

6. The electronic apparatus of claim 4 , wherein the circuitry is configured to calculate an average weight between the first weight and the second weight, and

to apply a sharpening process to the weighted average image, based on the average weight.

7. An image processing method comprising:

calculating a weighted average image from a first image, a second image and a third image, by using a weight based on a first difference between the first image and the second image and a second difference between the first image and the third image; and

applying, based on the weight, an image quality process of a first intensity to a first position in the weighted average image, applying, based on the weight, an image quality process of a second intensity to a second position in the weighted average image, the second intensity weaker than the first intensity, and applying, based on the weight, an image quality process of a third intensity to a third position in the weighted average image, the third intensity weaker than the second intensity.

8. A non-transitory computer-readable storage medium storing a program which is executable by a computer, the program controlling the computer to execute functions of:

calculating a weighted average image from a first image, a second image and a third image, by using a weight based on a first difference between the first image and the second image and a second difference between the first image and the third image; and

applying, based on the weight, an image quality process of a first intensity to a first position in the weighted average image, applying, based on the weight, an image quality process of a second intensity to a second position in the weighted average image, the second intensity weaker than the first intensity, and applying, based on the weight, an image quality process of a third intensity to a third position in the weighted average image, the third intensity weaker than the second intensity.

9. The method of claim 7 , further comprising applying a sharpening process to the weighted average image, based on the weight.

10. The method of claim 9 , wherein the applying the sharpening comprises applying, based on the weight, a sharpening process of the first intensity to the third position, applying a sharpening process of the second intensity to the second position, and applying a sharpening process of the third intensity to the first position.

11. The method of claim 7 , further comprising calculating a first weight based on the first difference and a second weight based on the second difference,

wherein the applying the image quality process comprises calculating a first weighted average image between the first image and the second image by using the first weight, calculating a second weighted average image between the first image and the third image by using the second weight, and using an average image between the first weighted average image and the second weighted average image as the weighted average image.

12. The method of claim 11 , wherein:

the calculating the first weight and the second weight comprises calculating an average weight between the first weight and the second weight; and

the applying the image quality process comprises applying, based on the average weight, the image quality process of the first intensity to the first position, applying, based on the average weight, the image quality process of the second intensity to the second position, and applying, based on the average weight, the image quality process of the third intensity to the third position.

13. The method of claim 11 , wherein the calculating the first weight and the second weight comprises calculating an average weight between the first weight and the second weight, and

the method further comprises applying a sharpening process to the weighted average image, based on the average weight.

14. The medium of claim 8 , the program further controlling the computer to execute function of applying a sharpening process to the weighted average image, based on the weight.

15. The medium of claim 14 , wherein the applying the sharpening comprises applying, based on the weight, a sharpening process of the first intensity to the third position, applying a sharpening process of the second intensity to the second position, and applying a sharpening process of the third intensity to the first position.

16. The medium of claim 8 , the program further controlling the computer to execute function of calculating a first weight based on the first difference and a second weight based on the second difference,

wherein the applying the image quality process comprises calculating a first weighted average image between the first image and the second image by using the first weight, calculating a second weighted average image between the first image and the third image by using the second weight, and using an average image between the first weighted average image and the second weighted average image as the weighted average image.

17. The medium of claim 16 , wherein:

the calculating the first weight and the second weight comprises calculating an average weight between the first weight and the second weight; and

the applying the image quality process comprises applying, based on the average weight, the image quality process of the first intensity to the first position, applying, based on the average weight, the image quality process of the second intensity to the second position, and applying, based on the average weight, the image quality process of the third intensity to the third position.

18. The medium of claim 16 , wherein the calculating the first weight and the second weight comprises calculating an average weight between the first weight and the second weight, and

the program further controls the computer to execute function of applying a sharpening process to the weighted average image, based on the average weight.