Samsung Electronics Co., Ltd.

Silicon Laboratories Inc.

Narasimha Gopalakrishna Pai

Alok Shankarlal Shukla

Pavan Sudheendra

Balvinder Singh

Karthik Narayanan

Girish R Kulkarni

Jin-hee Na

Debayan Mukherjee

Parijat Prakash Prabhudesai

Pankaj Kumar Bajpai

Swadha Jaiswal

Vineeth Thanikonda Munirathnam

Sanjay Narasimha Murthy

Sathish Chalasani

Prajit Sivasankaran Nair

Santhosh Kumar Banadakoppa Narayanaswamy

Vamsee Kalyan Bandlamudi

Sabari Raju Shanmugam

Tapan Harishkumar Shah

Shivi Pal

Bhupala Srivarma Chiranjeevi

Pyo-jae Kim

Mannu Amrit

Sheela Prabhakar

Girish Kulkarni

Gopinath Patra

Mahesh P J

Bala Siva Sashank Jujjavarapu

Prityush Chandra

Chevuru Sai Jaswanth

Akshay Kumar

Somanathan Karthikeyan

Abhishek Somani

Vibha Venkatesh Kulkarni

Venkatesh Ambati

A method and a system for generation of a plurality of portrait effects in an electronic device are provided. The method includes feeding an image captured from the electronic device into an encoder pre-learned using a plurality of features corresponding to the plurality of portrait effects and extracting, using the encoder, at least one of one or more low level features and one or more high level features from the image. The method includes generating, for the image, one or more first portrait effects of the plurality of portrait effects by passing the image through one or more first decoders. The method includes generating, for the image, one or more second portrait effects of the plurality of portrait effects by passing the image through one or more second decoders, wherein each of the one or more first portrait effect, and the one or more second portrait effects is generated in a single inference.

Method and system for generation of a plurality of portrait effects in an electronic device

Embodiments herein disclose a method for recommending an image capture mode by an electronic device. The method includes identifying, by the electronic device, at least one ROI displayed in a camera preview of the electronic device for capturing an image in a non-ultra-wide image capture mode. Further, the method includes determining, by the electronic device, that the at least one ROI is suitable to capture in an ultra-wide image capture mode. Further, the method includes providing, by the electronic device, at least one recommendation to switch to the ultra-wide image capture mode from the non-ultra-wide image capture mode for capturing the image.

Method and electronic device for recommending image capture mode

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

A system and a method for detecting light sources in a multi-illuminated environment using a composite red-green-blue-infrared (RGB-IR) sensor is provided. The method comprises detecting, by the composite RGB-IR sensor, a multi-illuminant area using a visible raw image and a near-infrared (NIR) raw image of a composite RGBIR image, dividing each of the visible raw image and the NIR raw image into a plurality of grid samples, extracting a plurality of illuminant features based on a green/NIR pixel ratio and a blue/NIR pixel ratio, estimating at least one illuminant feature for each grid sample by passing each grid sample through a convolution neural network (CNN) module using the extracted plurality of illuminant features, and smoothing each grid sample based on the estimated at least one illuminant feature.

System and method for detecting light sources in a multi-illuminated environment using a composite RGB-IR sensor

An image processing apparatus and an image processing method are provided. The image processing apparatus includes an image capturer configured to capture a plurality of images having different zoom levels, a storage configured to store the plurality of image, a display configured to display a first image among the plurality of images, and a processor configured to control the display to display a second image among the plurality of images based on a control input, the second image having a zoom level different from a zoom level of the first image.

Image processing apparatus and image processing method

A method and an apparatus for generating a composite image in an electronic device are provided. The method includes identifying a first image element of a first event from first images successively captured by a first image sensor of the electronic device, and identifying a second image element of a second event from second images successively captured by a second image sensor of the electronic device, the first images and the second images being simultaneously captured. The method further includes combining the first image element with the second image element based on a synchronization parameter to generate the composite image.

Method and apparatus for generating composite image in electronic device

A method and apparatus are provided for enhancing the local dynamic range of an image using the contents of exposure bracketed image set without affecting overall dynamic range of the image. The method allows a user to select at least one region of a reference image for enhancement after receiving the reference image from the user. Further the method comprises segmenting the reference image by using exposure weights, and selects an enhancement support image from an exposure bracketed image set. Furthermore the method determines weight maps of reference and enhancement support images and generates dynamic range enhanced reference image using determined weight maps.

Method and apparatus for dynamic range enhancement of an image

A non-echo canceling voice band modem capable of detecting subscriber alerting signal (SAS) tones and customer premises equipment alerting signal (CAS) tones is provided. The modem includes a shaping filter, an analog-to-digital converter (ADC), a SAS tone detector, a CAS tone detector and an echo canceler. The shaping filter, which is located in a transmitting path of the modem, filters modem signals to be transmitted from the modem. The ADC, which is located in a receiving path of the modem, converts any incoming analog signal to corresponding digital signals to be used by the modem. The echo canceler, which is coupled to the SAS and CAS tone detectors, cancels any echoes in modem signals before sending said modem signals to the SAS and CAS tone detectors.

Method and apparatus for detecting subscriber alerting signal tones and customer premises equipment alerting signal tones to non-echo canceling modems

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Bengaluru, India

Narasimha Gopalakrishna Pai