Provided are a capsule endoscope apparatus for supporting a lesion diagnosis and a lesion diagnosis supporting method using the same. The capsule endoscope apparatus for supporting lesion diagnosis includes an imaging unit configured to capture one or more images of an inside of a body, a control unit configured to detect a suspected lesion region in the images and perform a precision diagnosis procedure when a suspected lesion region corresponding to a value equal to or greater than a certain threshold is detected, an image processing unit configured to process the images in the precision diagnosis procedure, and a communication module configured to transmit and receive processed images to another capsule endoscope apparatus or a terminal by using a wireless communication method.

A method includes capturing, by a camera disposed behind a display panel of an electronic device, an original image through a semi-transparent pixel region of the display panel. The original image includes one or more color components. The method further includes determining, for a plurality of pixel regions of the original image, a point spread function (PSF) for each of the one or more color components. The method further includes performing, for the plurality of pixel regions of the original image, a deconvolution of each of the one or more color components of the original image based at least in part on their respective PSFs. The method thus includes generating a reconstructed image corresponding to the original image based on the deconvolutions of the one or more color components of the plurality of pixel regions of the original image.

Provided is an image processing apparatus for correcting blinking defect noise contained in image data generated by an image sensor. The image sensor includes a pixels arranged two-dimensionally and reading circuits configured to read a pixel value. The image processing apparatus includes: an information acquisition unit configured to acquire noise information that is defined by associating positional information of the reading circuits or positional information of each of the pixels with feature data related to the blinking defect noise caused by the reading circuits; an estimation unit configured to estimate a random noise amount in a pixel of interest based on the feature data and a random noise model for estimating the random noise amount in the pixel of interest; and a correction unit configured to correct a pixel value of the pixel of interest based on the random noise amount estimated by the estimation unit.

A system, method, and computer program product are provided for capturing digital images. In use, at least one ambient exposure parameter is determined, and at least one flash exposure parameter based on the at least one ambient exposure parameter is determined. Next, via at least one camera module, an ambient image is captured according to the at least one ambient exposure parameter, and, via the at least one camera module, a flash image is captured according to the at least one flash exposure parameter. The captured ambient image and the captured flash image are stored. Lastly, the captured ambient image and the captured flash image are combined to generate a first merged image. Additional systems, methods, and computer program products are also presented.

Disclosed is a distortion rectification method, comprising: taking a wide-angle photograph using a camera of a terminal; determining distortion regions and non-distortion regions in the wide-angle photograph; obtaining a target distortion region selected by a user; dividing the target distortion region into M grid regions of a first pre-set size, wherein M is an integer greater than or equal to one; and respectively performing distortion rectification on the M grid regions of the first pre-set size. Also disclosed is a terminal.

The present disclosure relates to devices and methods for detecting and removing vapor for an imaging acquisition device. A device for detecting and removing vapor may include a first light guide. The first light guide may include a first end to receive a light beam, and a second end to output the light beam at a predetermined angle with respect to a reference plane, so that when the light beam enters a target light transmission media from the first light guide, the light beam substantially perfectly reflects between a first surface and a second surface of the target light transmission media. The first surface and second surface may substantially parallel to the reference plane.

Image frames for computational photography may be corrected, such as through rolling shutter correction (RSC), prior to fusion of the image frames to reduce wobble and jitter artifacts present in a video sequence of HDR-enhanced image frames. First and second motion data regarding motion of the image capture device may be determined for times corresponding to the capturing of the first and second image frames, respectively. The rolling shutter correction (RSC) may be applied to the first and second image frames based on both the first and second motion data. The corrected first and second image frames may then be aligned and fused to obtain a single output image frame with higher dynamic range than either of the first or second image frames.

A noise removing circuit includes an image combiner suitable for generating a high dynamic range (HDR) image by combining images having different exposure times; a detailed image generator suitable for generating a detailed image from the HDR image; an image strength evaluator suitable for evaluating strength of the detailed image; and a noise coring component suitable for performing a noise coring operation for removing noise from a region of the detailed image in which a signal to noise ratio (SNR) has decreased using a low threshold and a saturation threshold when the strength of the detailed image is less than a reference value.

A same region detector detects a same region of a processing target for each of a plurality of different viewpoints from polarization images in a plurality of polarization directions acquired for each of the viewpoints. The polarization images in the plurality of polarization directions acquired for each of the plurality of different viewpoints are, for example, polarization images acquired by imaging over a period of a plurality of frames in which a positional relationship between the processing target and a polarization image acquisition unit that acquires the polarization images changes. A polarization degree calculation unit calculates a polarization degree of the same region for each of the viewpoints on the basis of the polarization images in the plurality of polarization directions. A reflection removal unit performs reflection removal processing on the same region of the processing target by using the polarization images in the plurality of polarization directions of the viewpoint at which the polarization degree calculated by the polarization degree calculation unit is maximized. A reflection component can be removed even when an angle between a plane direction of a reflecting surface and an imaging direction is not clear.

A same region detector detects a same region of a processing target for each of a plurality of different viewpoints from polarization images in a plurality of polarization directions acquired for each of the viewpoints. The polarization images in the plurality of polarization directions acquired for each of the plurality of different viewpoints are, for example, polarization images acquired by imaging over a period of a plurality of frames in which a positional relationship between the processing target and a polarization image acquisition unit that acquires the polarization images changes. A polarization degree calculation unit calculates a polarization degree of the same region for each of the viewpoints on the basis of the polarization images in the plurality of polarization directions. A reflection removal unit performs reflection removal processing on the same region of the processing target by using the polarization images in the plurality of polarization directions of the viewpoint at which the polarization degree calculated by the polarization degree calculation unit is maximized. A reflection component can be removed even when an angle between a plane direction of a reflecting surface and an imaging direction is not clear.