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.

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.

Disclosed examples include integrated circuits, merge circuits and methods of processing multiple-exposure image data, in which a single pre-processing circuit is used for pre-processing first input exposure data associated with a first exposure of the image, and then for pre-processing second input exposure data associated with a second exposure of the image, and the first and second pre-processed exposure data are merged to generate merged image data for tone mapping and other post-processing. An example merge circuit includes a configurable gain circuit to apply a gain to the first and/or second exposure data, as well as a configurable weighting circuit with a weight calculation circuit and a motion adaptive filter circuit to compute a first and second weight values for merging the pre-processed first and second exposure data.

A method of calibrating an image sensor including a color filter array having a first-type array pattern, the method includes capturing a target using the image sensor to generate first image data, performing a white balance operation on the first image data to generate second image data, performing an inverse white balance operation on the second image data based on a second-type array pattern to generate third image data, the second-type array pattern being different from the first-type array pattern, and calibrating the image sensor based on the third image data.

An image capturing unit captures an image including an embedded image that is printed on the basis of image data in which at least a color component has been modulated according to additional information. An adjustment unit adjusts a white balance of the image captured by the image capturing unit on the basis of an adjustment value associated with the embedded image. A processing unit processes image data of the image captured by the image capturing unit whose white balance has been adjusted by the adjustment unit to read the additional information in the image captured by the image capturing unit.

The present disclosure relates to an image processing method for correcting colors in an input image representing a scene, the image processing method including: processing the input image with a machine learning model, wherein the machine learning model is previously trained to detect a predefined number N>1 of sources of light illuminating the scene and to generate N estimated illuminant images associated respectively to the N sources of light, wherein each estimated illuminant image includes an estimated color of the light emitted by the respective source of light and an estimated contribution image; generating a total illuminant image by using the N estimated illuminant images; and generating an output image by correcting the colors in the input image based on the total illuminant image.

An apparatus includes a detection unit configured to detect a flicker frequency of a subject light source by sampling an output signal of a sensor in first sampling processing, a determination unit configured to determine whether the detected flicker frequency falls within a detection target range, by sampling an output signal of the sensor in second sampling processing, and a control unit configured to perform control to notify a user in response to determination by the determination unit that the detected flicker frequency falls out of a detection target range in the first sampling processing.

An image acquisition apparatus includes: a first image sensor configured to acquire a first image based on a first wavelength band; a second image sensor configured to acquire a second image based on a second wavelength band of 10 nm to 1,000 nm, and a processor configured to register the first image and the second image, which are respectively output from the first image sensor and the second image sensor, to obtain a registration image based on the first image and the second image, and perform color conversion on the registration image by using an illumination value estimated from the second image.

An image acquisition apparatus includes: a first image sensor configured to acquire a first image based on a first wavelength band; a second image sensor configured to acquire a second image based on a second wavelength band of 10 nm to 1,000 nm, and a processor configured to register the first image and the second image, which are respectively output from the first image sensor and the second image sensor, to obtain a registration image based on the first image and the second image, and perform color conversion on the registration image by using an illumination value estimated from the second image.

A method for generating a composite image comprises: detecting a color temperature of a background image; acquiring from a camera through an image signal processor, ISP, performing white balance correction of acquired image data, an image including a foreground region including face of a user; and detecting a color temperature of the foreground region. Responsive to the color temperature for the foreground region differing from that of the background image by more than a threshold amount, a color temperature for white balance correction of a subsequently acquired image is set which causes skin pixels within the foreground region of the subsequently acquired image to have a color temperature closer to the color temperature for the background image. Pixel values of the foreground region are combined with pixel values of the background image corresponding to a background region of the acquired image to provide the composite image.