Image processing apparatus, image capturing apparatus, image processing method, and storage medium
AssigneeCanon Kabushiki Kaisha
InventorTakashi Sasaki
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AssigneeCanon Kabushiki Kaisha
InventorTakashi Sasaki
Estimating the term…
There is provided an image processing apparatus. An obtaining unit obtains a distance map and a shot image, the distance map representing a distribution of information related to a distance in a depth direction of a shooting range using a distribution of distance values, the shot image corresponding to the shooting range. A first filter unit applies a first filter to the distance map. A second filter unit applies a second filter to the distance map to which the first filter has been applied. The first filter is a filter that reduces a distribution of distance values in a predetermined distance value range in the distance map. The second filter is a filter that changes a distance value of a target distance in the distance map using weighted averaging.
An image processing apparatus comprising:
An image processing apparatus comprising:
An image processing method executed by an image processing apparatus, comprising:
An image processing method executed by an image processing apparatus, comprising:
A non-transitory computer-readable storage medium which stores a program for causing a computer to execute an image processing method comprising:
A non-transitory computer-readable storage medium which stores a program for causing a computer to execute an image processing method comprising:
Dependencies are inferred from the claim text.
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Image enhancement or restoration: denoising; Smoothing
Image analysis: depth or shape recovery
Image acquisition modality: range image; Depth image; 3D point clouds
Adaptive image processing: locally adaptive
About 12 years 11 months of term left · ends 9 Oct 2039 (estimated)
The present invention relates to an image processing apparatus, an image capturing apparatus, an image processing method, and a storage medium.
There is a known technique to shoot a pair of images with predetermined parallax, and apply image processing of adding blur to an image using a distribution of information related to a subject distance obtained based on the pair of images. As a method of calculating a distribution of information related to a subject distance, Japanese Patent Laid-Open No. 2008-15754 discloses a method of calculating a defocus amount distribution based on a shift amount between two pieces of pixel data while relatively shifting a pixel data pair in a minute block.
When a defocus amount distribution is calculated on a per-block basis based on a shift amount between a pixel data pair as in Japanese Patent Laid-Open No. 2008-15754, a defocus amount distribution that expands to the outside of a subject region is generated. If a background region is extracted from the expanding defocus amount distribution and blurring processing is applied to this background region, a background image near a boundary between a subject and a background becomes clear. That is, there has been a problem of unnatural blur in a region of the boundary between the subject and the background.
FIG. 1 is a block diagram showing a functional configuration of an image processing apparatus 100.
FIG. 2A is a diagram showing an array configuration of pixels in an image capturing unit 105 of FIG. 1.
FIG. 2B is an enlarged view of pixels 200 shown in FIG. 2A.
Hereinafter, embodiments of the present invention will be described with reference to the attached drawings. Elements that are given the same reference numerals throughout all of the attached drawings represent the same or similar elements. Note that the technical scope of the present invention is defined by the claims, and is not limited by the following respective embodiments. Also, not all of the combinations of the aspects that are described in the embodiments are necessarily essential to the present invention. Also, the aspects that are described in the individual embodiments can be combined as appropriate.
FIG. 1 is a block diagram showing a functional configuration of an image processing apparatus 100. In the following description, it will be assumed that the image processing apparatus 100 is a digital camera. However, the image processing apparatus 100 of the present embodiment is not limited to the digital camera, and may be, for example, a personal computer or the like.
First, an example of processing executed by the image processing apparatus 100 of the present embodiment will be briefly described. The image processing apparatus 100 obtains a defocus amount distribution (hereinafter also referred to as “defocus map”) as a distribution of information related to a subject distance. Then, in order to remove outliers and unevenness included in the defocus map, the image processing apparatus 100 applies a median filter to the defocus map. Next, the image processing apparatus 100 applies, to the defocus map, a filter (for example, a minimum filter) that reduces defocus amounts expanding to the outside of a subject region. Finally, the image processing apparatus 100 extracts an object region based on the defocus map to which the filters have been applied. This can suppress the formation of holes in the object region attributed to outliers and unevenness included in the defocus map, and suppress the expansion of the object region attributed to the expansion of the defocus amounts.