Disclosed is an image correction method, implemented in an image correction apparatus that corrects an image taken by a camera, the method including: obtaining a first image by taking an image of a chart including a plurality of circles, each of which includes one or more regions of interest (ROIs) in a tangential direction and a sagittal direction, through the camera; selecting and storing tangential and sagittal image blur correction data of the camera, based on image blur data in the tangential and sagittal directions of the camera measured using the obtained first image; and loading the stored tangential and sagittal image blur correction data and applying the loaded tangential and sagittal image blur correction data to correction for a second image taken by the camera. Thus, image distortion due to, in particular, tangential and sagittal image blurs is effectively corrected by taking individual characteristics of the camera into account.

There is provided a notifying apparatus. A detecting unit detects a motion amount of an object from an image obtained through first shooting, the first shooting being carried out repeatedly at predetermined intervals of time. A converting unit converts the motion amount into a motion blur amount that will arise in second shooting, on the basis of the predetermined intervals of time and an exposure time used in the second shooting. A notifying unit makes a notification of motion blur on the basis of the motion blur amount. The notifying unit changes a form of the notification in accordance with a magnitude of the motion blur amount.

A portable electronic device with image capturing capabilities automatically or semi-automatically adjusts one or more image capturing parameters based on an input attribute of user engagement with a single-action haptic input mechanism. For example, the duration for which a single-action control button carried on a frame of the device is pressed automatically determines an image stabilization mode for on-board processing of captured image data. In one example, an above-threshold press duration automatically activates a less rigorous image stabilization mode, while button release before expiry of the threshold automatically activates a more rigorous photo stabilization mode.

An image processing device of an embodiment includes a control unit that generates a composite image and outputs the composite image to a display device, the composite image being acquired by combination of a first image captured in first exposure time and having first resolution, and a second image that is an image corresponding to a part of a region of the first image, and that is captured in second exposure time shorter than the first exposure time and has second resolution higher than the first resolution, the first image and the second image being input from an image sensor.

An image blur correction apparatus comprises an object detection unit configured to output a position of the part of the object, a selection unit configured to select a part of an object from among parts of one or more objects, and an object blur correction amount calculation unit configured to calculate an object blur correction amount, wherein the object blur correction amount calculation unit, when a part of an object selected by the selection unit is switched from a first part to a second part, calculates the object blur correction amount based on a difference between a position of the selected part of the object and the target position, a position of the second part in an image, and a position of the first part in an image acquired before switching.

Depth information can be used to assist with image processing functionality, such as image stabilization and blur reduction. In at least some embodiments, depth information obtained from stereo imaging or distance sensing, for example, can be used to determine a foreground object and background object(s) for an image or frame of video. The foreground object then can be located in later frames of video or subsequent images. Small offsets of the foreground object can be determined, and the offset accounted for by adjusting the subsequent frames or images. Such an approach provides image stabilization for at least a foreground object, while providing simplified processing and reduce power consumption. Similarly processes can be used to reduce blur for an identified foreground object in a series of images, where the blur of the identified object is analyzed.

An optical device acquires event data based on an output of an event sensor detecting a change in luminance of a subject image and maps the event data acquired in a mapping time to generate a frame. The optical device performs control such that the mapping on the event data is overlapped partially in a plurality of the frames and calculates a motion vector based on the plurality of frames in which there is a difference of the mapping time at a start time of the mapping.

A method for stabilization of a video sequence captured by an electronic device is provided. The method includes identifying a subject in the video sequence, estimating a velocity of the subject relative to the electronic device, determining a point of view of a subject in the video sequence with respect to the electronic device and the velocity of the subject relative to the electronic device and stabilizing the video sequence based on the determined point of view.

An evaluation method for an image stabilization effect of an imaging apparatus comprising: acquiring a first image obtained by imaging an object in a state in which the imaging apparatus is vibrated; acquiring a second image obtained by imaging the object in a state in which the imaging apparatus is stationary; and calculating an evaluation value indicating an image stabilization effect in a peripheral region of the imaging apparatus, based on a difference in blur amounts between the first image and the second image in the peripheral region deviated from the center of an optical axis.

The workload in creating a document for reporting a construction status is reduced. A task support apparatus includes a first acquiring unit configured to acquire a plurality of captured images associated with pieces of attribute information from a terminal device configured to associate the captured images with the pieces of attribute information; a second acquiring unit configured to acquire an insertion rule and/or a description rule of a document for reporting a construction status; and a generating unit configured to generate image information based on the pieces of attribute information, associated with the plurality of captured images acquired by the first acquiring unit, and the insertion rule and/or the description rule acquired by the second acquiring unit. The pieces of attribute information each include a construction detail and a photographing timing.