Abstract: An imaging apparatus includes at least one memory and at least one processor which function as: an exposure control unit configured to perform exposure control so that a representative brightness of a high brightness region of an image becomes a target brightness set by a user; and a tone correction unit configured to perform tone correction on a captured image, which was captured after performing the exposure control, based on a brightness of a dark portion that is a region having a brightness lower than the high brightness region, wherein the tone correction unit adjusts a correction amount of the tone correction so that the representative brightness of the high brightness region, which is corrected to be higher than the target brightness by the tone correction, becomes close to the target brightness.

Abstract: An imaging apparatus includes at least one memory and at least one processor which function as: an exposure control unit configured to perform exposure control, so that representative brightness of a high brightness region of an image approaches a target brightness that is set by a user; and a gradation correction unit configured to perform gradation correction to increase a contrast of the high brightness region, by expanding a brightness range of the high brightness region of the image which is captured after performing the exposure control, wherein the gradation correction unit changes degree of the expansion of the brightness range of the high brightness region based on the target brightness.

Abstract: An imaging device includes a setting unit configured to set a target brightness level of a high-brightness region in an imaging scene; an exposure control unit configured to perform photometry to control exposure; and a gradation correction unit configured to perform predetermined gradation correction on an image obtained by imaging, wherein a mode for controlling the exposure includes a first photometry mode, in which photometry is performed using the high-brightness region as a photometry region and exposure is controlled on a basis of a target brightness level set by the setting unit, and a second photometry mode different from the first photometry mode, and the gradation correction unit suppresses the predetermined gradation correction more in a case in which the image is obtained by imaging using the first photometry mode than in a case in which the image is obtained by imaging using the second photometry mode.

Abstract: An apparatus includes an imaging unit, a setting unit configured to set automatic modes, an adjustment unit configured to adjust a white balance of a signal based on an automatic mode set by the setting unit, a recording control unit configured to record the adjusted signal into a recording unit, a display control unit configured to display the adjusted signal on a display unit, and an acquisition unit configured to acquire ambient light information, wherein the display control unit further adjusts a color balance of the displayed signal based on the set automatic mode and the acquired ambient light information.

Abstract: An image processing apparatus that generates, from a captured image, a color temperature map that indicates color temperature information of light illuminating a captured scene for each area, is disclosed. The apparatus determines, for each area of the captured image, either an interactive light source that has a communication function, a non-interactive light source that does not have a communication function, or both of the interactive light source and the non-interactive light source is a light source that illuminates a corresponding area in the captured scene. The apparatus also generates the color temperature map using a result of determination made by the determining unit, color temperature information acquired from the interactive light source through communication, and color temperature information of the non-interactive light source that is estimated based on the captured image.

Abstract: An image capturing apparatus includes an acquisition unit configured to acquire data concerning a captured image captured by an image capturing unit, a learning unit configured to learn a condition of an image that a user likes, based on supervised data, a control circuit configured to decide automatic image capturing by the image capturing unit based on the condition learned by the learning unit and to register, as the supervised data, data acquired by the acquisition unit for a captured image obtained by image capturing performed based on an instruction of the user, and data acquired by the acquisition unit for captured images for learning which are captured before and/or after the image capturing performed based on an instruction of the user.

Abstract: An image processing apparatus includes a composition unit configured to composite a plurality of captured images to generate a composite image, a recording control unit configured to record the captured images or the composite image as a recorded image in a recording unit, and a determination unit configured to determine an imaging mode or a method of composition performed by the composition unit, in which the recording control unit records type data determined on the basis of a result of the determination in association with the recorded image that is captured or composited according to the imaging mode or the method of composition determined by the determination unit.

Abstract: An image processing apparatus that generates, from a captured image, a color temperature map that indicates color temperature information of light illuminating a captured scene for each area, is disclosed. The apparatus determines, for each area of the captured image, either an interactive light source that has a communication function, a non-interactive light source that does not have a communication function, or both of the interactive light source and the non-interactive light source is a light source that illuminates a corresponding area in the captured scene. The apparatus also generates the color temperature map using a result of determination made by the determining unit, color temperature information acquired from the interactive light source through communication, and color temperature information of the non-interactive light source that is estimated based on the captured image.

Abstract: An image processing method includes the steps of performing processing of selecting a learning model from a plurality of learning models that have learned a reference used to record an image generated by an image sensor; performing, using the selected learning model, determination processing of determining whether the image generated by the image sensor satisfies the reference; and recording the image in a case in which it is determined that the image generated by the image sensor satisfies the reference, wherein the processing of selecting the learning model is performed based on at least one of an image capturing instruction by a user, an evaluation result of the image by the user, an environment when the image is generated, and a score of each of the learning models for the image generated by the image sensor.

Abstract: An image capturing apparatus includes an acquisition unit configured to acquire data concerning a captured image captured by an image capturing unit, a learning unit configured to learn a condition of an image that a user likes, based on supervised data, a control circuit configured to decide automatic image capturing by the image capturing unit based on the condition learned by the learning unit and to register, as the supervised data, data acquired by the acquisition unit for a captured image obtained by image capturing performed based on an instruction of the user, and data acquired by the acquisition unit for captured images for learning which are captured before and/or after the image capturing performed based on an instruction of the user.

Abstract: An image capturing apparatus includes an acquisition unit configured to acquire data concerning a captured image captured by an image capturing unit, a learning unit configured to learn a condition of an image that a user likes, based on supervised data, a control circuit configured to decide automatic image capturing by the image capturing unit based on the condition learned by the learning unit and to register, as the supervised data, data acquired by the acquisition unit for a captured image obtained by image capturing performed based on an instruction of the user, and data acquired by the acquisition unit for captured images for learning which are captured before and/or after the image capturing performed based on an instruction of the user.

Abstract: A control apparatus configured to control a forming apparatus which forms concavo-convex structure by ejecting ink obtains concavo-convex data indicating the concavo-convex to be formed and divide the concavo-convex data into a plurality of pieces of data. The control apparatus controls a formation order, performed by the forming apparatus, of the concavo-convex portions each corresponding to the plurality of pieces of data divided by the dividing unit based on a feature amount of the concavo-convex indicated by the concavo-convex data.

Abstract: An image processing method includes the steps of performing processing of selecting a learning model from a plurality of learning models that have learned a reference used to record an image generated by an image sensor; performing, using the selected learning model, determination processing of determining whether the image generated by the image sensor satisfies the reference; and recording the image in a case in which it is determined that the image generated by the image sensor satisfies the reference, wherein the processing of selecting the learning model is performed based on at least one of an image capturing instruction by a user, an evaluation result of the image by the user, an environment when the image is generated, and a score of each of the learning models for the image generated by the image sensor.

Abstract: An image capturing apparatus includes an acquisition unit configured to acquire data concerning a captured image captured by an image capturing unit, a learning unit configured to learn a condition of an image that a user likes, based on supervised data, a control circuit configured to decide automatic image capturing by the image capturing unit based on the condition learned by the learning unit and to register, as the supervised data, data acquired by the acquisition unit for a captured image obtained by image capturing performed based on an instruction of the user, and data acquired by the acquisition unit for captured images for learning which are captured before and/or after the image capturing performed based on an instruction of the user.

Abstract: An imaging apparatus according to the present invention includes: an imaging unit configured to generate RAW image data by imaging; a generation unit configured to generate record RAW image data from the RAW image data; and a recording unit configured to record in a storage unit the record RAW image data, wherein the generation unit generates the record RAW image data by performing Lossy compression on the RAW image data in a case where consecutive shooting is performed, and generates the record RAW image data by performing Lossless compression on the RAW image data in a case where single shooting or bracket photographing is performed.

Abstract: A control apparatus configured to control a forming apparatus which forms concavo-convex structure by ejecting ink obtains concavo-convex data indicating the concavo-convex to be formed and divide the concavo-convex data into a plurality of pieces of data. The control apparatus controls a formation order, performed by the forming apparatus, of the concavo-convex portions each corresponding to the plurality of pieces of data divided by the dividing unit based on a feature amount of the concavo-convex indicated by the concavo-convex data.

Abstract: A control apparatus configured to control a forming apparatus which forms concavo-convex structure by ejecting ink obtains concavo-convex data indicating the concavo-convex to be formed and divide the concavo-convex data into a plurality of pieces of data. The control apparatus controls a formation order, performed by the forming apparatus, of the concavo-convex portions each corresponding to the plurality of pieces of data divided by the dividing unit based on a feature amount of the concavo-convex indicated by the concavo-convex data.

Abstract: An image that is robust against position shift and that has improved graininess is formed. In the embodiments, a halftone processor creates a first dot arrangement and a second dot arrangement from related weighting functions and weighting maps (S1508, S1509), evaluates the image quality when the first dot arrangement and the second dot arrangement are overlapped and combined (S1511, S1512), updates the weightings for only pixels where a dot is arranged in case where the evaluation results in the evaluating step are not within a specified range (S1513), obtains a first dot arrangement and a second dot arrangement that were recreated based on the updated weightings (S1508, S1509), and repeats steps S1508 to S1514 until it is determined that the change in image quality due to position shift when the recreated first and second dot arrangements are overlapped and combined is within a specified range.

Abstract: A control apparatus configured to control a forming apparatus which forms concavo-convex structure by ejecting ink obtains concavo-convex data indicating the concavo-convex to be formed and divide the concavo-convex data into a plurality of pieces of data. The control apparatus controls a formation order, performed by the forming apparatus, of the concavo-convex portions each corresponding to the plurality of pieces of data divided by the dividing unit based on a feature amount of the concavo-convex indicated by the concavo-convex data.

Abstract: An image that is robust against position shift and that has improved graininess is formed. In the embodiments, a halftone processor creates a first dot arrangement and a second dot arrangement from related weighting functions and weighting maps (S1508, S1509), evaluates the image quality when the first dot arrangement and the second dot arrangement are overlapped and combined (S1511, S1512), updates the weightings for only pixels where a dot is arranged in case where the evaluation results in the evaluating step are not within a specified range (S1513), obtains a first dot arrangement and a second dot arrangement that were recreated based on the updated weightings (S1508, S1509), and repeats steps S1508 to S1514 until it is determined that the change in image quality due to position shift when the recreated first and second dot arrangements are overlapped and combined is within a specified range.