There is provided an image processing device including a subject distance change determination unit configured to detect a temporal change of a distance from an imaging position to each subject present in an image and determine a tendency toward approach or recession of the each subject with respect to the imaging position on the basis of the detection, and a main subject determination unit configured to determine a main subject on the basis of the tendency toward approach or recession of the each subject determined by the subject distance change determination unit.

The image-capturing apparatus includes an image sensor configured to capture an object image formed by an image-capturing optical system, a focus detector configured to produce a focus state of the image-capturing optical system to produce focus detection information, a first acquirer configured to acquire a first correction value relating to the image-capturing optical system, and a second acquirer configured to acquire a second correction value relating to the image sensor. The apparatus further includes a controller configured to perform focus control using the focus detection information corrected with the first and second correction values.

An image processing apparatus including a display control unit that displays highlighting corresponding to an in-focus degree of a subject included in an image on the basis of predetermined sensitivity and that performs control so that the sensitivity is determined depending on a predetermined condition.

An imaging device including a pixel matrix and a processor is provided. The pixel matrix includes a plurality of phase detection pixels and a plurality of regular pixels. The processor performs autofocusing according to pixel data of the phase detection pixels, and determines an operating resolution of the regular pixels according to autofocused pixel data of the phase detection pixels, wherein the phase detection pixels are always-on pixels and the regular pixels are selectively turned on after the autofocusing is accomplished.

There is provided an image processing device including a subject distance change determination unit configured to detect a temporal change of a distance from an imaging position to each subject present in an image and determine a tendency toward approach or recession of the each subject with respect to the imaging position on the basis of the detection, and a main subject determination unit configured to determine a main subject on the basis of the tendency toward approach or recession of the each subject determined by the subject distance change determination unit.

An imaging method is provided that includes: (i) providing a microscope having a lens and an autofocusing camera positioned adjacent to the microscope; (ii) positioning an illumination source adjacent to the microscope; (iii) moving a sample to a predefined offset position and illuminating the sample; (iv) acquiring an image of the illuminated sample via the autofocusing camera; and (v) utilizing a convolution neural network to identify an in-focus position of the sample. The convolution neural network may further include an input layer, output layer, and at least one hidden layer situated between the input and output layers. The hidden layer(s) may be selected from a group consisting of a convolution layer, pooling layer, normalization layer, fully connected layer, and a combination thereof. The convolution neural network may be trained to accurately define the weight to be applied to the layer(s). The illumination source may be a single-LED, dual-LED, LED array, Khler illumination, and a combination thereof. The convolution neural network may advantageously predict the in-focus position of the acquired image without axial scanning and may be a multi-domain convolution neural network, which may receive input(s) selected from spatial features, Fourier transform of the acquired image, autocorrelation of the acquired image.

An image capturing apparatus in which a plurality of pixels each having a plurality of photoelectric conversion units for receiving light fluxes that have passed through different partial pupil regions of an imaging optical system are arrayed, wherein an entrance pupil distance Z of the image sensor with respect to a minimum exit pupil distance L.sub.min of the imaging optical system and the maximum exit pupil distance L.sub.max of the imaging optical system satisfies a condition of

[00001]$\frac{4.Math..Math.L_{\min }.Math.L_{\max }}{L_{\min }+3.Math..Math.L_{\max }}<Z_S<\frac{4.Math..Math.L_{\min }.Math.L_{\max }}{3.Math.L_{\min }+L_{\max }}.$

The present disclosure relates to an imaging apparatus, an imaging method, and a program that are capable of easily setting a type of a subject as a focusing target in each imaging.

An image sensor acquires an image. An operation unit selects a type of a subject as a focusing target in each imaging of the image acquired by the image sensor. In the case where the type of the subject as a focusing target is selected by the operation unit, a microcomputer detects an area of the subject of that type from the image and sets the detected area as an in-focus area of the image. The present disclosure can be applied to an imaging apparatus, for example.

A control apparatus includes a calculation unit configured to perform a focus detection by a phase difference detection method based on an image signal output from an image sensor, and to calculate a defocus amount, and a focus control unit configured to control a focus lens based on the defocus amount. When a predetermined condition is satisfied, the focus control unit changes a driving speed of the focus lens based on information on a luminance or contrast of the image signal. At least one processor or circuit is configured to perform a function of at least one of the units.

The present invention concerns an image conversion module (09) that comprises an optical interface (10) for establishing an optical path (07). The image conversion module (09) further comprises a beam splitting element (13) on the optical path (07). The beam splitting element (13) is configured for splitting a beam entering the optical interface (10, 11) on the optical path (07) into a first optical subpath (14) and a second optical subpath (16). The image conversion module (09) further comprises a microelectromechanical optical system (17) that is configured for enhancing a depth of field on the first optical subpath (14) that is directed to a first optoelectronic submodule (21). The image conversion module (09) further comprises a second optoelectronic submodule (24) having an electronic sensor (26) on the second optical subpath (16). The second optoelectronic submodule (24) is configured for acquiring additional data on the sample (02).