Samsung Electronics Co., Ltd.

Gaurav Khandelwal

Abhijit Dey

Kiran Nataraju

Digadari Suman

Alok Shankarlal Shukla

Divyanshu Kumar

Saiksha Dhananjay Shetty

Sachin Deepak Lomte

Vivek Maik D

Sai Snehith Garlapati

Balaji Shashipreeth Racherla

Umang Chaturvedi

Diplav

Sweta Singh

Apurbaa Bhattacharjee

Ajay Vijayvargiya

Madhupa Chowdhury

Methods and systems for denoising media frames captured in low-light environment are provided. A method includes obtaining a media frame in pixel space using adaptive trimming of Fourier coefficients of an input media frame based on a threshold criterion, and obtaining a media frame in curvelet space by performing curvelet transform on the media frame in pixel space, extracting a texture frame based on texture details and a homogeneous frame based on homogeneous details, present in the media frame in pixel space, performing longitudinal and latitudinal filtering of the texture and homogeneous frames downscaled by a same factor, integrating the longitudinal and latitudinal filtered texture and homogeneous frames, upscaling the integration to obtain a curvelet media frame, and obtaining an output media frame by sharpening the curvelet media frame in multiple iterations based on partially sharpened curvelet media frames, the curvelet media frame, and the media frame in curvelet space.

Methods and systems for denoising media frames captured in low-light environment

A method for enhancing image quality may be provided. The method may include receiving a plurality of input frames and metadata, and determining one or more feature scores for a received input frame from the plurality of input frames. The method may further include determining a parametric score for the received input frame based on an analysis of the one or more feature scores of the received input frame and the metadata. The method may include identifying one or more artifacts for correction in the received input frame based on the parametric score, and determining a strength of correction required for at least one identified artifact in the received input frame based on the parametric score, then applying the determined strength of correction to the received input frame. The method may further include performing multi-frame blending for a plurality of received input frames with applied determined strength of correction.

Method and system for enhancing image quality by multi-frame blending

A method performed by an electronic device for generating a slow motion video includes obtaining plural image frames captured at a frame rate from a camera of the electronic device, detecting motion information in a first image frame from among the plural image frames, and performing an interpolation operation using one or more image frames from among the plural image frames. The one or more image frames are image frames obtained during a predetermined time after the first image frame in which the motion information is detected. A second image frame obtained before the first image frame in which the motion information is detected is discarded from the electronic device. A third image frame obtained after the predetermined time from the first image frame in which the motion information is detected is discarded from the electronic device.

Method and system for recording a super slow motion video in a portable electronic device

A method for processing image frames, and an electronic device are provided. The method includes receiving image frames captured by an image sensor at a first frame rate and storing the received image frames in a memory. A change is detected in the stored image frames and an image frame is interpolated between the stored image frames after detecting the change. The interpolated image is stored in the memory.

An apparatus for capturing media for capturing media using a plurality of cameras associated with an electronic device based on an ambient light condition is provided. The apparatus includes a processor, and a memory unit coupled to the processor, the memory unit including a processing module configured to obtain at least one preview frame from a first camera in response to enabling an image capture application of the electronic device, determine ambient light parameters of the obtained at least one preview frame, and switch a camera operation of the electronic device from the first camera to a second camera to capture the media, if the determined ambient light parameters are below a pre-defined threshold.

Methods and apparatus for capturing media using plurality of cameras in electronic device

A method and a system for recording a Super Slow Motion (SSM) video in a portable electronic device are provided. A SSM video recording system detects presence of motion in the image frames captured by the image capturing device. Upon detecting the presence of motion, the SSM video recording system generates a trigger, subsequent to which, a first and fourth set of image frames for performing a frame skipping mechanism, and a second and third set of image frames for performing an interpolation mechanism are selected. The image frames of desired frame rate generated by performing the frame skipping mechanism and the interpolation mechanism are transmitted to an encoder in an order, for encoding and recording. The method and system allow SSM even in mid-tier and low-tier models of smartphones, without the need of expensive specialized image sensors.

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Bengaluru, India

Gaurav Khandelwal