A stereoscopic vision system uses at least two cameras having different parameters to image a scene and create stereoscopic views. The different parameters of the two cameras can be intrinsic or extrinsic, including, for example, the distortion profile of the lens in the cameras, the field of view of the lens, the orientation of the cameras, the positions of the cameras, the color spectrum of the cameras, the frame rate of the cameras, the exposure time of the cameras, the gain of the cameras, the aperture size of the lenses, or the like. An image processing apparatus is then used to process the images from the at least two different cameras to provide optimal stereoscopic vision to a display.

An image processing method includes: converting a red yellow blue RYB image into a grid image based on a red green blue RGB format; generating a first brightness layer of the grid image, and determining a reference gain compensation array used to adjust the first brightness layer; obtaining, based on a preset compensation array correspondence, a target gain compensation array that is associated with the reference gain compensation array and based on an RYB format; and adjusting a second brightness layer of the RYB image by using the target gain compensation array, to generate a corrected image.

Techniques are described for dynamically correcting image distortion during imaging of a patterned sample having repeating spots. Different sets of image distortion correction coefficients may be calculated for different regions of a sample during a first imaging cycle of a multicycle imaging run and subsequently applied in real time to image data generated during subsequent cycles. In one implementation, image distortion correction coefficients may be calculated for an image of a patterned sample having repeated spots by: estimating an affine transform of the image; sharpening the image; and iteratively searching for an optimal set of distortion correction coefficients for the sharpened image, where iteratively searching for the optimal set of distortion correction coefficients for the sharpened image includes calculating a mean chastity for spot locations in the image, and where the estimated affine transform is applied during each iteration of the search.

Techniques are described for dynamically correcting image distortion during imaging of a patterned sample having repeating spots. Different sets of image distortion correction coefficients may be calculated for different regions of a sample during a first imaging cycle of a multicycle imaging run and subsequently applied in real time to image data generated during subsequent cycles. In one implementation, image distortion correction coefficients may be calculated for an image of a patterned sample having repeated spots by: estimating an affine transform of the image; sharpening the image; and iteratively searching for an optimal set of distortion correction coefficients for the sharpened image, where iteratively searching for the optimal set of distortion correction coefficients for the sharpened image includes calculating a mean chastity for spot locations in the image, and where the estimated affine transform is applied during each iteration of the search.

An object is to implement shading correction processing of some regions of interest (ROIs) cut from a captured image. A transmission device includes: a processing unit that performs shading correction processing on image data of a region of interest (ROI) in a captured image on a basis of coordinate information of the ROI; and a transmission unit that sends the image data of the ROI subjected to the shading correction processing as payload data and sends ROI information as embedded data.

According to one embodiment, a ranging device includes storage and a processor. The storage is configured to store a statistical model generated by learning a bokeh that occurs in a first image affected by aberration of an optical system of a capture unit. The processor is configured to acquire a second image captured by the capture unit, acquire focus position information when the second image was captured, acquire a bokeh value indicating a bokeh of a subject in the second image, which is output from the statistical model by inputting the acquired second image to the statistical model, and convert the acquired bokeh value into a distance to the subject based on the acquired focus position information.

Disclosed is an image processing method including adjusting a light exposure time of an image acquisition unit by using a target image converted to be output in a desired output mode among a plurality of output modes; and displaying target images acquired according to the adjustment.

Various embodiments provide an electronic device and a method for controlling an operation of the electronic device. An electronic device according to various embodiments of the present invention may comprise: a lens unit; an image sensor; a memory used for intra-prediction of an image captured using the image sensor, and storing direction modes differently configured according to characteristics of a partial area of the lens unit; and a processor, wherein the processor: acquires a raw image corresponding to an external object by using the image sensor; divides the raw image into multiple blocks; selects a block, on which intra-prediction is to be performed, from among the multiple blocks; determines a direction mode to be used for intra-prediction of the selected block on the basis of a distortion parameter of a partial area of the lens unit corresponding to the selected block; performs the intra-prediction on the selected block on the basis of the determined direction mode; and generates a compressed image corresponding to the raw image on the basis of a result of the intra-prediction. In addition, various embodiments are possible.

A depth acquisition device includes a memory and a processor. The processor performs: acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring, from the memory, an infrared light image generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring, from the memory, a visible light image generated by imaging a substantially same scene as the scene of the infrared light image, with visible light from a substantially same viewpoint as a viewpoint of imaging the infrared light image at a substantially same time as a time of imaging the infrared light image; detecting a flare region from the infrared light image; and estimating a depth of the flare region based on the infrared light image, the visible light image, and the flare region.

An image processing apparatus includes an information acquisition unit configured to acquire first optical information outside an image circle of an imaging optical system, and a processing unit configured to perform sharpening processing, based on the first optical information, for an input image generated by imaging using the imaging optical system. The first optical information is optical information generated based on second optical information within the image circle of the imaging optical system.