Samsung Electronics Co., Ltd.

Jin-hee Na

Young-Kwon Yoon

Ki-Huk Lee

Jae-Sik Sohn

Pyo-Jae Kim

Woo-Yong Lee

Min-Chul Kim

Hye-Jin Kang

Jung-Tae Kwon

Tae-Ho Kim

Moon-Soo Kim

Alok Shankarlal Shukla

Hwa-Yong Kang

Parijat Prakash Prabhudesai

Narasimha Gopalakrishna Pai

Min-Sheok Choi

Sathish Chalasani

Sabari Raju Shanmugam

Sanket Sambhajirao Deshmukh

Pyo-jae Kim

Abhishek Somani

Venkatesh Ambati

Kshitij Dwivedi

Siddarth Reddy Malreddy

Jong-Min Hyun

Jee-Na Hwang

Methods and systems for reconstructing a high frame rate high resolution video in a Bayer domain, when an imaging device is set in a Flexible Sub-Sampled Readout (FSR) mode are described. A method provides the FSR mode, which utilizes a multiparty FSR mechanism to spatially and temporally sample the full frame Bayer data. The multi parity FSR utilizes a zigzag sampling that assists reconstruction of motion compensated artifact free high frame rate high resolution video with full frame size. The method includes reconstructing the high frame rate high resolution video using the plurality of parity fields generated. The reconstruction is based on a FSR reconstruction mechanism that can be a pre-Image Signal Processor (ISP) FSR reconstruction or a post-ISP FSP reconstruction based on bandwidth capacity of an ISP used by the imaging device.

Methods and systems for reconstructing a high frame rate high resolution video

Various embodiments of the present disclosure are directed to an apparatus and a method for processing an image in an electronic device. In this case, the method for processing an image comprises: a step for obtaining a first image using at least one image sensor; a step of detecting at least one sub-image from the first image; a step for estimating a relative distance between the at least one sub-image using at least one phase difference information obtained by the image sensor; and a step for capturing at least one second image focused on each sub-image using the relative distance between the at least one sub-image. Various embodiments may be possible.

Method for processing image and electronic apparatus therefor

An electronic device is provided. The electronic device includes a camera module and an image processing module. The image processing module may obtains a first image and a second image for the scene including a first object and a second object, identifies a first motion amount corresponding to the first object and a second motion amount corresponding to the second object using the first image and the second image, and applies different effects to a first image area corresponding to the first object and a second image area corresponding to the second object, at least, based on the first motion amount and the second motion amount.

Electronic device for processing image and method for controlling the same

A method and device for synthesizing an image are provided. The method includes obtaining a first image and a second image, determining at least one object in the first image, and synthesizing the second image with the determined at least one object.

Method and electronic device for synthesizing image

A method of synthesizing images and an electronic device thereof is provided. The method of synthesizing images includes determining an object region for synthesizing a second image in a first image, determining a warping value of the object region, and synthesizing the second image deformed according to the warping value with the object region.

Method for synthesizing images and electronic device thereof

A method and apparatus for improving quality of an enlarged image are provided. The apparatus includes first and second image input units for outputting first and second images which are obtained by capturing the same subject at different positions spaced apart by a predetermined gap, a first image processor for converting a resolution of the first image to a preview resolution, a display for displaying the first image from the first image processor, a second image processor for, when an area to be enlarged in the displayed first image is selected, cropping an area corresponding to the selected area from the second image, and a controller for controlling the display to display the cropped area on the first image in an overlaying manner. Consequently, a user may view a high-magnification image cropped from a high-definition image and an original image together.

Apparatus and method for improving quality of enlarged image

A method and apparatus for image processing includes receiving images, detecting non-stationary objects in the images, displaying a first image that includes a non-stationary object, selecting a frame region including the non-stationary object in the first image, selecting a second image based on a low similarity with the first image, and replacing image data in the frame region of the first image with image data represented in the frame region of the second image.

Electronic device and method of operating the same

Disclosed is a camera apparatus capable of tracking a target object based on motion of a camera sensed by a motion sensor and a method for tracking an object in the camera apparatus are provided. The method includes obtaining, by a electronic device including a first sensor and a second sensor, one or more images corresponding to at least one object using the first sensor, by displaying the one or more images via a display operatively coupled with the electronic device, obtaining motion data corresponding to movement of at least part of the electronic device identified in relation with obtaining the one or more images, tracking, from a corresponding displayed image of the one or more images, a position corresponding to the at least one object based at least in part on the motion data, and presenting, via the display, at least one portion of information with respect to the position corresponding to the at least one object.

Camera apparatus and method for tracking object in the camera apparatus

A system generates a synthesized image by combining content of a first image with content of a second image where both the first and second images are acquired by a portable terminal, The system identifies a portion of the second image, selects at least a part of the portion of the second image as a region of interest and generates a synthesized image by incorporating content of the first image in the region of interest. The method displays and stores the synthesized image.

Method of synthesizing images photographed by portable terminal, machine-readable storage medium, and portable terminal

An image combining method in an electronic device having a plurality of cameras. In response to a photographing signal, images successively photographed through at least a first camera are successively stored. A first image is selected from the successively photographed images which satisfies a predetermined classification reference, such as a degree of blurring, a facial expression, and/or a shooting composition. A second image is captured through a second camera; and the first and second images are then combined. The combined image may be a picture-in-picture (PIP) type combination image. The first and second cameras may be front and rear cameras of a portable terminal, or vice versa. The successive image capture and selection technique may also be applied to the second camera.

Combining effective images in electronic device having a plurality of cameras

A camera apparatus capable of tracking a target object based on motion of a camera sensed by a motion sensor and a method for tracking an object in the camera apparatus are provided. The method includes, if input image data is inputted, sensing motion of a camera which captures the input image data, generating camera motion data corresponding to motion of the camera, estimating a pose or motion of the camera based on the camera motion data, and tracking translation of a target object based on at least one of the estimated pose or motion of the camera and the input image data.

An apparatus and method of recognizing an object by using a camera includes detecting feature information from a first preview image; comparing the feature information with a threshold condition; changing a camera setting parameter, when the feature information does not satisfy the threshold condition; and performing an object recognition for a second preview image generated based on the changed camera setting parameter.

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Seoul, South Korea

Jin-hee Na