Abstract: There is provided an image processing apparatus and method capable of suppressing an increase in a processing time for image clustering. Sparse pixels included in an image are clustered, sparse information obtained by this clustering is interpolated by image filtering that uses an image signal as a guide, and thereby a dense clustering result is derived. For example, the sparse information is model coefficients or a clustering result obtained by the clustering. The present disclosure can be applied to, for example, an image processing apparatus, an image processing method, and the like.

Abstract: According to one embodiment, an image processing apparatus includes a buffer and processing circuitry. The buffer stores first and second images capturing an object. The circuitry calculates at least one of a first distance to the object in the first image and a second distance to the object in the second image by using a correction parameter for correcting at least one of influences caused by ambient light, a reflection characteristic of the object, or a color of the object, calculates three-dimensional coordinates of the object on a relative scale by using the first and second images, and calculates three-dimensional coordinates of the object on a real scale based on at least one of the first and second distances, and the three-dimensional coordinates of the object on the relative scale.

Abstract: Provided are an image processing apparatus, an image processing method, and an image processing program capable of achieving high accuracy in an index representing vegetation. An image processing apparatus (1) includes a normal map generation unit (12) and a reflection characteristic model generation unit (18). The normal map generation unit (12) obtains a normal vector characteristic based on a polarized image acquired. The reflection characteristic model generation unit (18) estimates a reflection characteristic model based on the normal vector characteristic obtained by the normal map generation unit (12).

Abstract: Provided are an imaging apparatus and an imaging method that make it possible to apply light having an optimum wavelength to capture an image without a user taking heed of a type of an imaging object. A wavelength of light optimum for analysis of a target is specified as an effective wavelength from a multispectral image of the target on which white light is applied, and light of the effective wavelength is applied upon the target. The target in this state is captured as a multispectral image, and the target is analyzed on a basis of a spectral image of an effective wavelength.

Abstract: An image processing device includes: a contribution ratio calculation unit that calculates a contribution ratio of a predetermined pixel or a predetermined region in depth calculation in each of a plurality of pixels or a plurality of regions included in an input image; and a correction unit that corrects a depth value of the predetermined pixel or the predetermined region based on the contribution ratio.

Abstract: An image processing apparatus and an image processing method that make it possible to generate a high-quality correction image in which luminance unevenness and color unevenness are reduced are implemented. The image processing apparatus includes a sampling point selection section that selects sampling points to be utilized for calculation of a correction function to be applied to pixel value correction of an image from within the image, a correction function calculation section that applies a pixel value and positional information of each of the sampling points to calculate the correction function, and an image correction section that applies the correction function to perform pixel value correction of the image.

Abstract: An imaging apparatus includes a filter configured to transmit light and an image sensor configured to generate an image according to the light. The filter includes first to fourth filter regions. The first filter region transmits light of a first wavelength region, and does not transmit light of a second wavelength region. The second filter region does not transmit the light of the first wavelength region and transmits the light of the second wavelength region. The third, filter region does not transmit the light of the first, wavelength region and does not transmit the light of the second wavelength region. The fourth filter region transmits the light of the first wavelength region and transmits the light of the second wavelength region.

Abstract: The present disclosure relates to an imaging apparatus and an imaging method as well as a program that make it possible to apply light having an optimum wavelength to capture an image without a user taking heed of a type of an imaging object. A wavelength of light optimum for analysis of a target is specified as an effective wavelength from a multispectral image of the target on which white light is applied, and light of the effective wavelength is applied upon the target. The target in this state is captured as a multispectral image, and the target is analyzed on a basis of a spectral image of an effective wavelength. The present disclosure can be applied to an endoscope device.

Abstract: An image capturing apparatus includes a sensor controller and a distance calculator. The sensor controller acquires a target image and a first reference image. The point spread function (PSF) of the target image is point-asymmetric, and the PSF of the first reference image being point-symmetric. The image sensor receives light having passed through a filter region that changes PSFs for sensor images of at least one kind into point-asymmetric forms, and then generates the target image for which a PSF has been changed into a point-asymmetric form by the filter region, and the first reference image that is not the target image. The distance calculator calculates the distance to an object captured in the target image and the first reference image, in accordance with the correlations each between an image obtained by convoluting a blur kernel to the target images and the first reference image.

Abstract: According to one embodiment, an image processing apparatus includes a memory and one or more processors. The one or more processors are electrically connected to the memory, and calculate blur correction information to make a blur of a first shape of an object approach a blur of a second shape of the object. The first shape of the object is contained in a first component image of one image. The second shape of the object is contained in a second component image of the one image. The one or more processors calculate a distance between an imaging device and the object based on an image distance when the one image is captured and the blur correction information. The image distance is a distance from a lens up to an image forming surface of the object.

Abstract: An image capturing apparatus includes a sensor controller and a distance calculator. The sensor controller acquires a target image and a first reference image. The point spread function (PSF) of the target image is point-asymmetric, and the PSF of the first reference image being point-symmetric. The image sensor receives light having passed through a filter region that changes PSFs for sensor images of at least one kind into point-asymmetric forms, and then generates the target image for which a PSF has been changed into a point-asymmetric form by the filter region, and the first reference image that is not the target image. The distance calculator calculates the distance to an object captured in the target image and the first reference image, in accordance with the correlations each between an image obtained by convoluting a blur kernel to the target images and the first reference image.

Abstract: A photographing device includes a first image sensor, a first filter area, a second image sensor, a first distance calculating unit, and a second distance calculating unit. The first image sensor includes a first sensor receiving light of a first wavelength band and outputting a target image, and a second sensor receiving light of a second wavelength band and outputting a reference image. The first filter area transmits a first light of a third wavelength band, which includes at least part of the first wavelength band, the first light being a part of light incident on the first image sensor. The second image sensor outputs a first image. The first distance calculating unit calculates a first distance to an object captured in the target image and the reference image. The second distance calculating unit calculates a second distance to an object captured in the reference image and the first image.

Abstract: An image capturing apparatus includes a sensor controller and a distance calculator. The sensor controller acquires a target image and a first reference image. The point spread function (PSF) of the target image is point-asymmetric, and the PSF of the first reference image being point-symmetric. The image sensor receives light having passed through a filter region that changes PSFs for sensor images of at least one kind into point-asymmetric forms, and then generates the target image for which a PSF has been changed into a point-asymmetric form by the filter region, and the first reference image that is not the target image. The distance calculator calculates the distance to an object captured in the target image and the first reference image, in accordance with the correlations each between an image obtained by convoluting a blur kernel to the target images and the first reference image.

Abstract: According to one embodiment, an image processing apparatus includes a buffer and processing circuitry. The buffer stores first and second images capturing an object. The circuitry calculates at least one of a first distance to the object in the first image and a second distance to the object in the second image by using a correction parameter for correcting at least one of influences caused by ambient light, a reflection characteristic of the object, or a color of the object, calculates three-dimensional coordinates of the object on a relative scale by using the first and second images, and calculates three-dimensional coordinates of the object on a real scale based on at least one of the first and second distances, and the three-dimensional coordinates of the object on the relative scale.

Abstract: According to an embodiment, a lens device includes a filter, an entire area of which transmits light of a common color. The filter includes a first filter region and a second filter region. The first filter region transmits light that is a first combination of colors out of colors of light to be received by an image sensor. The second filter region transmits light that is a second combination of colors of the colors of the light to be received by the image sensor. The first and second combinations of colors each include the common color.

Abstract: According to one embodiment, an image processing apparatus includes a memory and one or more processors. The one or more processors are electrically connected to the memory, and calculate blur correction information to make a blur of a first shape of an object approach a blur of a second shape of the object. The first shape of the object is contained in a first component image of one image. The second shape of the object is contained in a second component image of the one image. The one or more processors calculate a distance between an imaging device and the object based on an image distance when the one image is captured and the blur correction information. The image distance is a distance from a lens up to an image forming surface of the object.

Abstract: According to an embodiment, a lens device includes a filter, an entire area of which transmits light of a common color. The filter includes a first filter region and a second filter region. The first filter region transmits light that is a first combination of colors out of colors of light to be received by an image sensor. The second filter region transmits light that is a second combination of colors of the colors of the light to be received by the image sensor. The first and second combinations of colors each include the common color.

Abstract: According to one embodiment, a route generation apparatus includes a memory and a circuit coupled with the memory. The circuit acquires a depth image regarding a capturing object including a first object, generates three-dimensional data by using the depth image receives first region information that specifies a first region including at least part of the first object based on the three-dimensional data, and generates route data by using the first region information and the three-dimensional data.

Abstract: According to one embodiment, a processing apparatus includes a memory and a processor. The processor is electrically coupled to the memory and is configured to acquire a first image of an object and a second image of the object, the first image including blur having a shape indicated by a symmetric first blur function, the second image including blur having a shape indicated by an asymmetric second blur function, calculate a distance to the object, based on correlation between the first blur function and the second blur function, and calculate reliability of the distance, based on a degree of the correlation.

Abstract: According to one embodiment, a processing device includes a memory and a circuit coupled with the memory. The circuit acquires a first image of a first color component and a second image of a second color component. The first image has a non-point-symmetric blur function and captures a first object. The second image has a point-symmetric blur function and captures the first object. The circuit determines whether the first object is on a near side of a first position or on a deep side of the first position when viewed from a capture position based on the first image and the second image.