An endoscope system includes an image pickup device that picks up an image of an inside of a subject, and outputs two or more digital signals, an electro-optical conversion section that converts the two or more digital signals outputted from the image pickup device into optical signals, and outputs the optical signals, an optical transmitting section that includes two or more optical transmitting members, and is adapted to transmit, in parallel, by the two or more optical transmitting members, two or more optical signals outputted from the electro-optical conversion section, and an output selection section provided between the image pickup device and the electro-optical conversion section, and being capable of combining, and outputting to one optical transmitting member, the two or more digital signals that are supplied to the two or more optical transmitting members, based on a transmission state of data optically transmitted by the optical transmitting section.

An electronic apparatus for providing a panorama image and a controlling method thereof are provided. The method includes acquiring photograph setting values of first images photographed respectively through a plurality of cameras, resetting a photograph setting value to be applied to at least one of the plurality of cameras based on the acquired photograph setting values and generating a panorama image comprising second images photographed through the plurality of cameras using the reset photograph setting value.

A digital image inspection method checks printing material processing machine products by recording digital printed partial images using recording devices and combining partial images in an image processing computer forming a digital overall image causing abutment edges at an overlap. The computer inspects the digital overall image and transmits a result to a machine control computer. The computer creates a new image, only containing detected edges, using edge detection methods after combining partial images forming a digital overall image. The computer uses known positions of abutment edges of recording devices to create a further new image only containing regions with abutment edges of recording devices. The computer overlays the new images, providing a resultant image containing only edges along abutment edges of recording devices. The computer applies the resultant image to the digital overall image, defining masking zones in the resultant digital overall image not being checked by image inspection.

Imaging unit for obtaining a three-dimensional image of an object area, comprising an image sensor constituted by a matrix of sensor elements and a focusing unit for providing an image of said object area on the image sensor, the matrix being covered by a color filter array, and a projection unit for projecting a predetermined pattern toward the object area, the focusing unit and the projection unit having optical axes differing with a known angle, wherein the projection unit is adapted to project a time sequence of patterns toward the object area, the pattern sequence being chosen so as to uniquely define a position along at least one axis perpendicular to the projection axis, over the period defined by the illumination, wherein each sensor element in said matrix is connected to a processing branch adapted to detect the variations in the illumination sequence measured at each sensor element, and calculating from the known angle between the projection and imaging axes, the position in the sensor matrix, and the illumination sequence detected at each sensor element, a three-dimensional coordinate of the imaged point on the surface of the object, and wherein the processing branch is adapted to sample at least one image of said image area and calculate a color image based on said color filter pattern for said at least one image.

Disclosed are a white balance synchronization method and apparatus, and a terminal device. The method is applied to a terminal comprising at least two cameras, and comprised that: when it is determined that the terminal is about to switch a camera, obtaining a first gain value corresponding to a currently used first camera; and after a second camera is started, using the first gain value as an initial value, and performing white balance adjustment is performed on an image collected by the second camera. Therefore, after the camera is switched, the second camera performs convergence by using gain value of the first camera prior to the switching as an initial value so as to perform the white balance adjustment, thereby avoid the problem of image flickering, improving the white balance adjustment speed and improving the user experience.

The present disclosure discloses a method for image or video shooting. The method is applied to a terminal that includes a first camera, a second camera, and a third camera. The second camera is a black-and-white camera, and the first camera, the second camera, and the third camera are cameras using prime lenses. The third camera is a color camera using a tele-photo lens. The method includes determining at least one camera from the first camera, the second camera, and the third camera based on a target zoom ratio as a target camera. The method further includes capturing, by using the target camera, at least one image that includes a target scene. The method further includes obtaining an output image of the target scene based on the at least one image that includes the target scene. According to the present disclosure, an approximately 5× lossless zoom effect is achieved.

An apparatus and a method that perform a false color correction according to image characteristics of a color image in units of image regions are provided. Included therein is an image processor that receives inputs of a color image and a white (W) image photographed by a W array imaging element whose all pixels are placed in a white (W) pixel array and executes an image process that reduces false colors included in the color image. Together with a frequency-corresponding parameter calculation unit that receives an input of the white (W) image and calculates a frequency-corresponding parameter in units of image regions, and a positional deviation-corresponding parameter calculation unit that receives inputs of the white (W) image and the color image and calculates a positional deviation-corresponding parameter of the two input images in units of image regions, the image processor executes a blending process and calculates a corrected pixel value.

An image processing method includes: obtaining a first image photographed by each of N color cameras in the M color cameras; obtaining, for each first image, luminance values of at least a part of pixels in the first image; and increasing brightness of a target image by using the obtained luminance values, and using the target image with increased brightness as an image photographed by the under-screen camera assembly, the target image being the first image photographed by one of the N color cameras, where both M and N are integers greater than or equal to 2, and N is less than or equal to M.

The invention provides methods for broadcasting video in a dual HDR/LDR format such that the video can be displayed in real time by both LDR and HDR display devices. Methods and devices of the invention process streams of pixels from multiple sensors in a frame-independent manner to produce an HDR video signal in real time. That HDR video signal is then tone-mapped to produce an LDR video signal, the LDR signal is subtracted from the HDR signal to calculate a residual signal, and the LDR signal and the residual signal are merged into a combined signal that is broadcast via a communications network.

A linear matrix circuit generates a second R signal, a second G signal, and a second B signal by performing a matrix operation of a correction coefficient of 3 rows×3 columns including first to third correction coefficients, fourth to sixth correction coefficients, and seventh to ninth correction coefficients on a first R signal, a first G signal, and a first B signal. An R coefficient corrector performs correction so that the first correction coefficient to be multiplied by the first R signal is caused to be close to 1 and the second and third correction coefficients to be respectively multiplied by the first G signal and the first B signal are caused to be close to 0, as a first difference value obtained by subtracting the first G signal from the first B signal increases when the first difference value exceeds a first threshold.