Recognition of degree of focus of an image
The present technology relates to an image processing device and method, and a program for enabling easier recognition of the degree of focus of an image after photographing. A focus area determining unit calculates focus scores based on a photographed image, the focus scores indicating the degrees of focus of the respective areas in the photographed image. A warning control unit determines the degree of focus of a predetermined area in the photographed image in accordance with the focus scores for the respective areas, and issues a warning instruction in accordance with a result of the determination. The warning is issued by displaying the warning, outputting a warning sound, vibrating, or emitting light, for example. As the degree of focus is determined in accordance with the focus scores, neither blurring nor defocusing is caused, and the user can be prompted to check the degree of focus. The present technology can be applied to digital still cameras.
1. An image processing device, comprising:
at least one processor configured to:
calculate a plurality of focus scores of a plurality of different areas in a first area of a photograph image, wherein the plurality of focus scores indicates degrees of focus of the plurality of different areas in the first area of the photographed image;
determine a degree of focus in the first area based on the plurality of focus scores of the plurality of different areas in the first area of the photographed image; and
issue a warning notification based on the determined degree of focus.
2. The image processing device according to claim 1 , wherein the at least one processor is further configured to detect a face area of a subject during a focusing operation, wherein the first area is the detected face area.
3. The image processing device according to claim 2 , wherein the at least one processor is further configured to calculate the plurality of focus scores for the detected face area.
4. The image processing device according to claim 2 , wherein the at least one processor is further configured to control a memory to store Exchangeable Image File Format (EXIF) data comprising face area information of the detected face area.
5. The image processing device according to claim 2 , wherein a calculated average value of the plurality of focus scores indicates a degree of focus in a second area near a most-focused area of the first area, and wherein the most-focused area has a highest focus score.
6. The image processing device according to claim 5 , wherein the calculated average value is an average value of the plurality of focus scores, which are more than a threshold score, in a detected face area.
7. The image processing device according to claim 1 , wherein the first area is designated by a user input.
8. The image processing device according to claim 1 , wherein the at least one processor is further configured to control a display screen to display the warning notification based on a superimposed image on the first area.
9. The image processing device according to claim 1 , wherein the at least one processor is further configured to issue a warning sound as the warning notification through a speaker device.
10. The image processing device according to claim 1 , wherein the at least one processor is further configured to issue a vibrator warning as the warning notification through a vibrator unit.
11. The image processing device according to claim 1 , wherein the at least one processor is further configured to issue the warning notification based on light emission by a light emitting device.
12. The image processing device according to claim 1 , wherein the at least one processor is further configured to change the warning notification based on an average value of the plurality of focus scores.
13. The image processing device according to claim 1 , wherein the degree of focus is a sum of absolute values of high pass components of respective pixels in the plurality of different areas.
14. The image processing device according to claim 1 , wherein the at least one processor is further configured to calculate the plurality of focus scores based on a discriminator obtained through a machine learning technique.
15. The image processing device according to claim 1 , wherein the at least one processor is further configured to determine the degree of focus in the first area, based on a comparison of an average value of the plurality of focus scores of the plurality of different areas in the first area with a threshold value.
16. An image processing method, comprising:
calculating, by at least one processor, a plurality of focus scores of a plurality of different areas in an area of a photographed image,
wherein the plurality of focus scores indicate degrees of focus of the plurality of different areas in the area of the photographed image;
determining, by the at least one processor, a degree of focus in the area based on the plurality of focus scores of the plurality of different areas in the area of the photographed image; and
issuing a warning notification based on the determined degree of focus.
17. A non-transitory computer-readable medium having stored thereon computer-executable instructions, which when executed by a processor of an image processing device, cause the processor to execute operations, the operations comprising:
calculating a plurality of focus scores of a plurality of different areas in an area of a photographed image,
wherein the plurality of focus scores indicate degrees of focus of the plurality of different areas in the area of the photographed image;
determining a degree of focus in the area based on the plurality of focus scores of the plurality of different areas in the area of the photographed image; and
issuing a warning notification based on the determined degree of focus.
18. An image processing device, comprising:
at least one processor configured to:
calculate a plurality of focus scores of a plurality of different areas in an area of a photographed image, wherein the plurality of focus scores indicates degrees of focus of the plurality of different areas in the area of the photographed image;
determine a degree of focus in the area based on a comparison of an average value of the plurality of focus scores of the plurality of different areas with a threshold value; and
issue a warning notification based on the determined degree of focus.