A method of correcting an image obtained by an image acquisition device includes obtaining successive measurements, G.sub.n, of device movement during exposure of each row of an image. An integration range, idx, is selected in proportion to an exposure time, t.sub.e, for each row of the image. Accumulated measurements, C.sub.n, of device movement for each row of an image are averaged across the integration range to provide successive filtered measurements, G, of device movement during exposure of each row of an image. The image is corrected for device movement using the filtered measurements G.

A translation display device of the present invention carries out a translation process of translating text extracted from a certain image and displays translated text while a display frame rate is maintained. A translation processing section (5) carries out the translation process in a case where no image other than the certain image is being subjected to the translation process. An image movement analyzing section (7) identifies a displacement of a position of an object in a most recent image which has been most recently obtained, the displacement being measured with respect to a reference position of an object in a reference image for which the translation process most recently ended. A generated image in which translated text obtained by translating extracted text extracted from the reference image is displayed so as to be superimposed on the most recent image in accordance with (i) a position of the extracted text and (ii) information on the displacement.

A camera for capturing video images in a series of frames includes an image sensor having an array of pixels. Each pixel receives an image and accumulates an electrical charge representative of the image during a frame. The camera also includes a pixel processor to sample a pixel output for each of the pixels of the image sensor during an intermediate portion of the frame to produce a signal representative of the image.

A system and method of determining a tilt angle of a portable computing device using sensor data; identifying a tilt angle from a plurality of predetermined tilt angle ranges; determining focal length settings for image capture devices of the portable computing device using the tilt angle, adjustment increments, and autofocus scan range algorithms. A portable computing device including a processor; a first image capture device on a first side of the portable computing device, and a second image capture device on the second side of the portable computing device, the second side located opposite of the first side; and a memory device including instructions operable to be executed by the processor to perform a set of actions, enabling the portable computing device to perform the method.

A substance detection device includes an illuminator that illuminates a monitoring range with light at a first wavelength and light at a second wavelength at different timings, an image capturer that obtains a first actual image by capturing an image of the monitoring range which is illuminated by the light at the first wavelength and obtains a second actual image by capturing an image of the monitoring range which is illuminated by the light at the second wavelength, and an image processor that acquires a difference in lightness of corresponding pixels between the first actual image and the second actual image that are obtained by the image capturer, compares the acquired difference in lightness of the corresponding pixels with a reference value, and detects a specific substance that is present in the monitoring range based on a result of the comparison.

A method and apparatus for capturing digital video includes displaying a preview of a field of view of the imaging device in a user interface of the imaging device. A sequence of images is captured. A main subject and a background in the sequence of images is determined, wherein the main subject is different than the background. A sequence of modified images for use in a final video is obtained, wherein each modified image is obtained by combining two or more images of the sequence of images such that the main subject in the modified image is blur free and the background is blurred. The sequence of modified images is combined to obtain the final video, which is stored in a memory of the imaging device, and displayed in the user interface.

An electronic image stabilization (EIS) method includes: obtaining video frames derived from an output of an image sensor, wherein each of the video frames has a full field of view (FOV) of the image sensor; obtaining motion information of the video frames; dynamically estimating, by a processing circuit, EIS margins according to FOV variation of a plurality of cropped images within the video frames respectively; and applying stabilization correction to the cropped images according to the motion information and the EIS margins, to generate a plurality of stabilized images.

An image pickup system includes a camera body and a lens device that is attached to the camera body. In the lens device, a shake detecting unit detects a shake, and a splitting unit splits a degree of image blurring correction which is calculated on the basis of the shake into a degree of optical image blurring correction and a degree of electronic image blurring correction. In the first image blurring correction, driving of an image blurring correcting unit is controlled using the degree of optical image blurring correction. In the second image blurring correction, an electronic image blurring correction control unit of the camera body performs image blurring correction through image processing using the degree of electronic image blurring correction. The camera body transmits timing information on an exposure period and information on a correction range of the electronic image blurring correction to the lens device. The lens device transmits the degree of electronic image blurring correction calculated by the splitting unit to the camera body.

An image pickup system includes a camera body and a lens unit that is attachable to the camera body. The lens unit detects shaking by a shake detection unit. Drive control of an image shake correction unit is performed in accordance with an image shake correction amount calculated based on the shaking. The camera body sets timing of obtaining the shaking detected by the shake detection unit, based on information transmitted to the lens unit. In a first communication, a camera communication control unit transmits information on a base point to a lens communication control unit, and in a second communication, the camera communication control unit transmits information on a relative time from the base point that was transmitted in the first communication to a lens communication control unit.

A shooting method for a shooting device and an electronic equipment are provided, and the method including: a shooting device in a standby state detecting motion data and judging if the shooting device meets a starting condition according to the motion data, and starting the shooting device and beginning detecting faces if the shooting device meets the starting condition; determining, at least based on a situation of face detected by the shooting device, whether to start the shooting device to begin shooting a video, and recording face feature information corresponding to the video; and uploading, according to an uploading condition, the face feature information and the shot video corresponding to the face feature information to a server after the shooting is completed.