Abstract: A method of manufacturing a positive electrode active material for a lithium secondary battery and a positive electrode active material for a lithium secondary battery manufactured thereby are provided. The method comprises: (a) preparing a positive electrode active material dispersion by mixing a positive electrode active material capable of reversible adsorption and release of lithium ions and a solvent; (b) preparing a coating solution comprising a niobium-based compound by adding and mixing a raw material comprising lithium (Li) and niobium (Nb); (c) forming a coating layer on the surface of the positive electrode active material by adding the coating solution of step (b) to the positive electrode active material dispersion of step (a); and (d) removing the solvent by pressing and filtering the product of step (c).

Abstract: A camera includes a first image sensor, a second image sensor, and processing circuitry configured to, generate target synthetic image data based on a target first frame from the plurality of first frames and a target second frame from the plurality of second frames, the target second frame corresponding to the target first frame, determine whether to perform an image stabilization operation on the target synthetic image data based on distance data related to distances of one or more objects included in the target synthetic image data, and perform the image stabilization operation based on results of the determination.

Abstract: An electronic device includes a motion sensor, an image signal processor core, an image stabilizer, and an image size controller. The motion sensor generates camera motion data by sensing motion of a camera module that captures an image to generate an original frame image. The image signal processor core generates processed frame image by processing input frame image corresponding to the original frame image. The image stabilizer generates an output frame image by performing electronic image stabilization of the processed frame image. The image size controller estimates a motion level indicating a degree of camera motion of the camera module based on the camera motion data and control a size of the input frame image or a size of the output frame image based on the motion level. The image stabilization is efficiently performed by estimating camera motion and adjusting the image size according to the camera motion.

Abstract: An electronic device comprises a first camera capable of photographing a designated direction, a second camera capable of photographing a direction different from the designated direction, a memory, and a processor, wherein the processor can be configured to acquire first images by using the first camera and second images by using the second camera, confirm at least one reflective object having a reflective attribute related to the light reflection in the first images, and synthesize, on the basis of the reflective attribute, at least a part of the second images with at least a part of an area corresponding to the at least one reflective object.

Abstract: According to various embodiments, an electronic device comprises a communication module, a memory, and a processor functionally connected with the communication module and the memory, wherein the processor may be configured to: receive a request for revision information corresponding to a first image from an external electronic device via the communication module; generate, on the basis of image recognition, first revision information by using a raw image corresponding to the first image; determine, on the basis of a comparison between the first image and the first revision information, whether a feature of the first revision information satisfies a predetermined condition or not; transmit, when the feature of the first revision information does not satisfy the predetermined condition, the first revision information to the external device to enable the external electronic device to generate a second image, that is, the revised first image by using the first revision information; generate, when the feature of

Abstract: Various embodiments provide an electronic device and a method, the electronic device comprising a communication module, a memory, and a processor, wherein the processor is configured to: recognize at least one object from among one or more objects by using an image containing the one or more objects; identify a recognition rate and a category corresponding to the at least one object at least on the basis of the recognition; obtain at least one reference image corresponding to the object at least on the basis of the category; when the recognition rate satisfies a first specified condition associated with the recognition rate corresponding to the category, correct the at least one object or an area corresponding to the at least one object by using a reference image, which satisfies the first specified condition, from among the at least one reference image; and when the recognition rate satisfies a second specified condition associated with the recognition rate corresponding to the category, correct the at least

Abstract: According to various embodiments, an electronic device comprises a.

Abstract: An electronic device comprises a first camera capable of photographing a designated direction, a second camera capable of photographing a direction different from the designated direction, a memory, and a processor, wherein the processor can be configured to acquire first images by using the first camera and second images by using the second camera, confirm at least one reflective object having a reflective attribute related to the light reflection in the first images, and synthesize, on the basis of the reflective attribute, at least a part of the second images with at least a part of an area corresponding to the at least one reflective object.

Abstract: Various embodiments provide an electronic device and a method, the electronic device comprising a communication module, a memory, and a processor, wherein the processor is configured to: recognize at least one object from among one or more objects by using an image containing the one or more objects; identify a recognition rate and a category corresponding to the at least one object at least on the basis of the recognition; obtain at least one reference image corresponding to the object at least on the basis of the category; when the recognition rate satisfies a first specified condition associated with the recognition rate corresponding to the category, correct the at least one object or an area corresponding to the at least one object by using a reference image, which satisfies the first specified condition, from among the at least one reference image; and when the recognition rate satisfies a second specified condition associated with the recognition rate corresponding to the category, correct the at least

Abstract: Provided, among other embodiments, is an electronic device including a memory and at least one processor. The at least one processor is configured to recognize at least one object having a curved portion in an image; determine a curvature corresponding to at least a part of the curved portion of the at least one object; determine a filter attribute based on at least a number of pixels located on a pre-existing graphical object of a specified curve corresponding to the curvature among one or more pixels representing the at least a part of the curved portion in the image; and correct at least a part of the curved portion using a filter set based on at least the filter attribute.