An electronic device is provided. The electronic device includes a memory, an image sensor including light receiving elements each including at least two sub light receiving elements, and an image signal processor. The image signal processor is configured to obtain images corresponding to light from outside by using the image sensor, the images including at least a raw image, a first sub image, and a second sub image, the first sub image being an image corresponding to light detected by at least one first sub light, the second sub image being an image corresponding to light detected by at least one second sub light, identify a luminance ratio between the first sub image and the second sub image, identify a defect in the raw image, based on the luminance ratio, and perform a function corresponding to a type of the defect.

A method includes obtaining a Bayer input image. The method also includes generating, using at least one processing device of an electronic device, multiple YUV image frames based on the Bayer input image using non-linear scaling, where the YUV image frames are associated with different exposure settings. The method further includes generating, using the at least one processing device of the electronic device, a fused image based on the YUV image frames. In addition, the method includes applying, using the at least one processing device of the electronic device, global tone-mapping to the fused image in order to generate a tone-mapped fused image, where the global tone-mapping is based on a first cubic spline curve.

Apparatuses, systems, and techniques to receive, at one or more processors associated with an image signal processing (ISP) pipeline for a camera, an image generated using an image sensor of the camera, wherein the image comprises a plurality of channels associated with color information of the image; process, by the one or more processors, the plurality of channels of the image to generate a plurality of luminance and/or radiance values; generate, by the one or more processors, an updated version of the image using the plurality of luminance and/or radiance values; and output the updated version of the image.

A parameter optimization system (10) includes: an image sensor (110) having at least one sensing parameter; a parameter setting unit (120) configured to be able to change the sensing parameter; a score calculation unit (130) configured to calculate a score from an image acquired by the image sensor; and a parameter determination unit (140) configured to determine a right parameter value that is a value of the sensing parameter at which the score is relatively high, based on a value of the sensing parameter and the score corresponding to the value of the sensing parameter. According to such a parameter optimization system, the sensing parameter of the image sensor can be set to an appropriate value.

A parameter optimization system (10) includes: an image sensor (110) having at least one sensing parameter; a parameter setting unit (120) configured to be able to change the sensing parameter; a score calculation unit (130) configured to calculate a score from an image acquired by the image sensor; and a parameter determination unit (140) configured to determine a right parameter value that is a value of the sensing parameter at which the score is relatively high, based on a value of the sensing parameter and the score corresponding to the value of the sensing parameter. According to such a parameter optimization system, the sensing parameter of the image sensor can be set to an appropriate value.

A processor-implemented method with image processing includes: providing retouch result candidates of an input image to a user in response to applying vector value candidates to a style vector; determining a vector value of the style vector based on a selection of the user for the retouch result candidates; determining an adjustment parameter set corresponding to the determined vector value of the style vector; and generating a retouch result by adjusting the input image based on the adjustment parameter set.

According to an embodiment of the present inventive concept, an image sensor includes a sensor including a plurality of pixels and configured to capture incident light and generate raw image data; a pre-processing processor configured to generate first image data by applying a first function to the raw image data; an image processor configured to receive the first image data and generate second image data using a machine learning model; and a post-processing processor configured to generate third image data by applying a second function to the second image data, wherein the first function is a non-linear function.

Provided in the present invention is a project unit, which is used for projecting an image to a target area containing a target object, said image having a certain gradual change rule and being unique in a certain spatial range. Also provided are a corresponding photographing apparatus, an imaging device, and a processor. The technical solution used by the present invention uses the projection unit to project, to the target area, an image which has a certain gradual rule and which is unique in a certain spatial range, and a target object which projects such an image is photographed by means of a certain unit, thus avoiding repeated photographing and obtaining multiple images, and by means of combining relevant characteristics of the image, the accuracy of follow-up point cloud generation on a back-end processor is improved, while achieving good real-time performances.

Provided in the present invention is a project unit, which is used for projecting an image to a target area containing a target object, said image having a certain gradual change rule and being unique in a certain spatial range. Also provided are a corresponding photographing apparatus, an imaging device, and a processor. The technical solution used by the present invention uses the projection unit to project, to the target area, an image which has a certain gradual rule and which is unique in a certain spatial range, and a target object which projects such an image is photographed by means of a certain unit, thus avoiding repeated photographing and obtaining multiple images, and by means of combining relevant characteristics of the image, the accuracy of follow-up point cloud generation on a back-end processor is improved, while achieving good real-time performances.

An electronic device is provided. The electronic device includes a camera, a memory, and at least one processor electrically coupled to the camera and the memory. The at least one processor may obtain a plurality of image frames through the camera, in response to a shooting start command, obtain a shooting command subsequent to the shooting start command, select a first number of image frames from among the plurality of image frames obtained before the shooting command, in response to the shooting command, and generate a first image synthesized based on the selected first number of image frames.