Abstract: An information processing apparatus includes a control unit configured to perform control for selecting settings for an imaging operation of an imaging unit based on surrounding sound obtained by a sound obtaining unit and an image generated by the imaging unit.

Abstract: Since an image projected from a projector has basically not high quality due to degradation of brightness and mixture of outside light, the image shot by the conventional technology includes the projected image with basically not high quality. In order to solve the above deficiency, in an aspect of the present invention provides an image system, where live performance is provided to audience by image projection on the screen, and the image to be shot does not include the projected image with low quality. For example, the image system can later synthesize a high-quality image having the same content as the projected image.

Abstract: A demodulation image sensor, such as used in time of flight (TOF) cameras, extracts all storage- and post-processing-related steps from the pixels to another array of storage and processing elements (proxels) on the chip. The pixel array has the task of photo-detection, first processing and intermediate storage to create subframes, while the array of storage and processing elements provides accumulation into frames. Particularly, sampled values of several subframes are summed in a compressed manner. Possible compression is to use exponential function.

Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may detect and correct a defective pixel of image data acquired using an image sensor. The image processing pipeline may receive an input pixel of the image data acquired using the image sensor. The image processing pipeline may then identify a set of neighboring pixels having the same color component as the input pixel and remove two neighboring pixels from the set of neighboring pixels thereby generating a modified set of neighboring pixels. Here, the two neighboring pixels correspond to a maximum pixel value and a minimum pixel value of the set of neighboring pixels.

Abstract: The method includes receiving an image of a subject via a lens of a camera, generating low-resolution images and high-resolution images repeatedly from the camera in response to a focus adjustment command inputted at a first timing point, displaying the low-resolution images as a preview image of the subject on a display, and storing at least one of the generated high-resolution images to be stored as a photo file of the subject in a memory in response to a photograph-taking command inputted at a second timing point behind the first timing point.

Abstract: An image processing device for detecting a skin region representing a skin of a subject from a pickup image obtained by imaging said subject, the image processing device includes: a first irradiating section; a second irradiating section; an image pickup section; an adjusting section; and a skin detecting section.

Abstract: An image pickup apparatus includes an image capturing unit, a projection unit, a reproduction processing unit configured to perform processing for reproducing image data, and a control unit configured to switch between operation modes at least including an image capturing mode in which the image capturing unit performs image capturing and a reproduction mode in which the reproduction processing unit performs reproduction processing. When the operation mode is switched to the reproduction mode, the control unit starts activation processing for activating the projection unit.

Abstract: A first plurality of images of a scene may be captured. Each image of the first plurality of images may be captured using a different TET. Based at least on the first plurality of images, a long TET, a short TET, and a TET sequence that includes the long TET and the short TET may be determined. A second plurality of images of the scene may be captured. The images in the second plurality of images may be captured sequentially in an image sequence using a sequence of TETs corresponding to the TET sequence. Based on one or more images in the image sequence, an output image may be constructed.

Abstract: An auto focus image system that includes a pixel array coupled to a focus signal generator. The pixel array captures an image that has a plurality of edges. The generator generates a focus signal that is a function of a plurality of edge-sharpness measures for the plurality of edges. The generator compares a sequence of gradients across the edge with one or more reference sequences of gradients and/or reference curves defined by data retrieved from a non-volatile memory. The generator may reject or de-emphasize the edge using result of the comparison. The edge sharpness measure is a quantity whose unit is a positive or negative, integer or non-integer power of a unit of length. It may be measured from the edge and/or a reference sequence/curve matched to the edge, or may be retrieved for the matched reference sequence/curve from a non-volatile memory.

Abstract: Disclosed are apparatus and methods for denoising a video stream of a camera. A current frame of the video stream and a temporally adjacent frame of the video stream that has been previously spatially and temporally denoised are obtained. The current frame is first spatially denoised, while preserving edges in such current frame to generate a plurality of spatially denoised pixels for the current frame. A particular pixel of the current frame is then both spatially and temporally denoised based on a weighted averaging of the particular pixel's associated spatially denoised pixel from the current frame and a plurality of pixels from the temporally adjacent frame that have already been spatially and temporally denoised.

Abstract: A solid-state image sensor which comprises a pixel group in which unit pixels each including a microlens and a plurality of photo-electric converters are arrayed two-dimensionally, wherein a shielding unit that shields part of all of a plurality of photo-electric converters corresponding to a single microlens is provided in a portion of the unit pixels.

Abstract: A rifle scope includes an image sensor configured to capture visual data corresponding to a view area, a display, and a controller coupled to the display and the image sensor. The controller is configured to apply a first stabilization parameter to at least a portion of the visual data to produce a stabilized view, to provide the stabilized view and a reticle to the display, and to apply a second stabilization parameter to stabilize the reticle relative to the stabilized view in response to motion.

Abstract: The image processing apparatus includes a determining part configured to determine, from a difference between information on color of a first pixel in a first image and information on color of a second pixel corresponding to the first pixel in a second image, whether or not the first image includes color blur due to defocus, the first and second images being generated by an image-pickup system and whose focus states are mutually different. The apparatus further includes a correcting part configured to perform on the first image a correction process that corrects the color blur determined by the determining part.

Abstract: An image management apparatus may include an input image setting information acquiring unit configured to, when image analysis information on an input image is set, acquire setting information as input image setting information, an available setting information acquiring unit configured to acquire setting information as available setting information, an update necessity determining unit configured to determine whether or not an update of the image analysis information is necessary, on the basis of a difference between the input image setting information and the available setting information, and an image analysis information setting unit configured to, when it is determined that an update of the image analysis information is necessary, perform image analysis on the input image using the second image analysis processing unit so as to set new image analysis information.

Abstract: A portable electronic device with camera function and an image capture method with auto exposure control. The disclosed method comprises the following steps: obtaining a pre-view frame from a camera module; dividing the pre-view frame into a plurality of blocks and calculating representative brightness values of the blocks; assigning weight values to the blocks according to the representative brightness values; obtaining a weighted brightness value by performing a weighted operation on the representative brightness values based on the weight values of the blocks; setting an auto exposure parameter of the camera module based on the weighted brightness value; and controlling the camera module for capturing images based on the auto exposure parameter.

Abstract: An imaging device 100 is equipped with an image acquisition unit 51, a first calculation unit 52 and a correction information calculation unit 53. The image acquisition unit 51 acquires image data including a luminance component and color components, via an optical system. The first calculation unit 52 detects shading of the luminance component included in the image data, and detects shading of the color difference components. The correction information calculation unit 53 calculates luminance shading correction coefficients and color difference shading correction coefficients. The correction information calculation unit 53 then converts the calculated color difference shading correction coefficients so as to have predetermined ratios with respect to the calculated luminance shading correction coefficients. A correction processing unit 62 corrects plural sets of image data on the basis of the converted color difference shading correction coefficients, and then performs pixel addition of the images.

Abstract: An image processing apparatus includes: a histogram computation block configured to compute a histogram of a plurality of motion vectors of each image detected for each of continuously taken images; an acceleration vector computation block configured to compute an acceleration vector corresponding to a change in the histogram; and a camera-shake correction amount computation block configured, on the basis of the acceleration vector and first motion vector for correction used in processing on an image preceding an image subject to processing, by assuming a second motion vector for correction for use in processing on the image subject to processing, to compute a camera-shake correction amount corresponding to the second motion vector for correction.

Abstract: The invention provides a flash light device, which includes a light source, a light diffuser and a light diffuser's driving unit. The light diffuser's driving unit provides the light diffuser with a required driving voltage according to a voltage information, in which the voltage information is determined according to an original image without light-complementing of the light source and a pre-flash image with light-complementing of the light source.

Abstract: The present disclosure relates to a camera module including: an auto focusing module upping and downing a lens; a hand-shaking correction module wrapping the auto focusing module to correct a hand-shaking by horizontally tilting the auto focusing module; a circuit substrate electrically connected to the hand-shaking correction module and the auto focusing module; a bottom case supporting the circuit substrate to be coupled to the auto focusing module; and a main circuit substrate secured to the bottom case to be electrically connected to the image sensor module, wherein the main circuit substrate is formed with oblong symmetrical openings along an edge of the main circuit substrate.

Abstract: Estimating focus error in an image involves a training phase and an application phase. In the training phase, an optical system is represented by a point-spread function. An image sensor array is represented by one or more wavelength sensitivity functions, one or more noise functions, and one or more spatial sampling functions. The point-spread function is applied to image patches for each of multiple defocus levels within a specified range to produce training data. Each of the images for each defocus level (i.e. focus error) is sampled using the wavelength sensitivity and spatial sampling functions. Noise is added using the noise functions. The responses from the sensor array to the training data are used to generate defocus filters for estimating focus error within the specified range. The defocus filters are then applied to the image patches of the training data and joint probability distributions of filter responses to each defocus level are characterized.