Image processing apparatus, image processing method, and computer-readable medium

1. An image processing apparatus comprising:

one or more processors; and

a memory storing one or more modules that, when executed by the one or more processors, detect a detail component of an image signal, adds the detected detailed component to the image signal of a frame, decrease an addition quantity of the detected detail component to the image signal from a lower end of the frame toward an upper end of the frame, and detect a face region or a skin color region in the one frame;

wherein the decreasing of the addition quantity is stopped in the face region or the skin color region, and a fixed quantity of the detail component is added to the face region or the skin color region

a detail component an image signal of one frame.

2. The apparatus of claim 1 , wherein upon execution by the one or more processors, the one or more modules further decrease the addition quantity of the detected detail component from a short-distance region toward a long-distance region in the frame.

3. The apparatus of claim 1 , wherein upon execution by the one or more processors, the one or more modules

add a fixed quantity of the detail component for a whole frame, if a rate of the face region or the skin color region in the image signal is greater than a determined value.

4. The apparatus of claim 1 , wherein upon execution by the one or more processors, the one or more modules further

calculate respective histograms of small regions of the image signal, and

add a fixed quantity of the detail component for small regions in which a difference between the histograms is less than a predetermined value.

5. The apparatus of claim 1 , wherein upon execution by the one or more processors, the one or more modules further

calculate respective histograms of small regions of the image signal, and

add a fixed quantity of the detail component for a whole frame, when small regions in which a difference of the histograms is less than a predetermined value exceed in number a predetermined number.

6. The apparatus of claim 1 , wherein upon execution by the one or more processors, the one or more modules

calculate respective average luminances of small regions of the image signal, and

add a fixed quantity of the detail component for small regions in which a difference between the average luminances is less a predetermined value.

7. The apparatus of claim 1 , wherein upon execution by the one or more processors, the one or more modules

calculate respective average luminances of small regions of the image signal, and

add a fixed quantity of the detail component for a whole frame, when small regions in which a difference of the average luminances is less than a predetermined value exceed in number a predetermined number.

8. The apparatus of claim 1 , wherein

the detail component of the image signal is detected by a Laplacian filter to process the image signal.

9. A computer-implemented method comprising:

detecting, through one or more processors, a detail component of an image signal of one frame;

adding, through one or more processors, the detected detail component to the image signal;

decreasing, through one or more processors, an addition quantity of the detected detail component to the image signal from a lower end of the one frame toward an upper end of the one frame;

detecting, through one or more processors, a face region or a skin color region in the one frame;

wherein the decreasing of the addition quantity is stopped in the face region or the skin color region, and a fixed quantity of the detail component is added to the face region or the skin color region.

10. A non-transitory computer-readable storage medium storing computer-executable instructions that, when executed, cause a computer to:

detect a detail component of an image signal of one frame;

add, through one or more processors, the detected detail component to the image signal;

decrease, through one or more processors, an addition quantity of the detected detail component to the image signal from a lower end of the one frame toward an upper end of the one frame; and

detect, through one or more processors, a face region or a skin color region in the one frame;

wherein the decreasing of the addition quantity is stopped in the face region or the skin color region, and a fixed quantity of the detail component is added to the face region or the skin color region.

11. The method of claim 9 , further comprising:

decreasing the addition quantity of the detected detail component from a short-distance region toward a long-distance region in the frame.

12. The method of claim 9 , further comprising:

adding a fixed quantity of the detail component for a whole frame, if a rate of the face region or the skin color region in the image signal is greater than a determined value.

13. The method of claim 9 , further comprising:

calculating respective histograms of small regions of the image signal, and

adding a fixed quantity of the detail component for small regions in which a difference between the histograms is less than a predetermined value.

14. The method of claim 9 , further comprising:

calculating respective histograms of small regions of the image signal, and

adding a fixed quantity of the detail component for a whole frame, when small regions in which a difference of the histograms is less than a predetermined value exceed in number a predetermined number.

15. The method of claim 9 , further comprising:

calculating respective average luminances of small regions of the image signal, and

adding a fixed quantity of the detail component for small regions in which a difference between the average luminances is less a predetermined value.

16. The method of claim 9 , further comprising:

calculating respective average luminances of small regions of the image signal, and

adding a fixed quantity of the detail component for a whole frame, when small regions in which a difference of the average luminances is less than a predetermined value exceed in number a predetermined number.

17. The method of claim 9 , wherein

the detail component of the image signal is detected by a Laplacian filter to process the image signal.

18. The storage medium of claim 10 including the instructions that, when executed, further cause the computer to:

decrease the addition quantity of the detected detail component from a short-distance region toward a long-distance region in the frame.

19. The storage medium of claim 10 including the instructions that, when executed, further cause the computer to:

add a fixed quantity of the detail component for a whole frame, if a rate of the face region or the skin color region in the image signal is greater than a determined value.

20. The storage medium of claim 10 including the instructions that, when executed, further cause the computer to:

calculate respective histograms of small regions of the image signal, and

add a fixed quantity of the detail component for small regions in which a difference between the histograms is less than a predetermined value.