Samsung Electronics Co., Ltd.

Green Rosh K S

Bindigan Hariprasanna Pawan Prasad

Anmol Biswas

Lokesh Rayasandra Boregowda

Alok Shankarlal Shukla

Balvinder Singh

Saikat Kumar Das

Venkat Ramana Peddigari

Sachin Deepak Lomte

Nikhil Krishnan

Pawan Prasad Bindigan Hariprasanna

Mandakinee Singh Patel

A method for removing an artifact in a high resolution image by an electronic device is provided. The method includes receiving the high resolution image comprising the artifact. Further, the method includes downscaling the high resolution image into a plurality of lower resolution images. Further, the method includes removing the artifact from the plurality of lower resolution images by applying at least one first machine learning model from a plurality of machine learning models on the plurality of lower resolution images. Further, the method includes generating a high resolution image free from the artifact by applying at least one second machine learning model from the plurality of machine learning models on an output from the at least one first machine learning model. The output from each of the machine learning model comprises a low resolution image free from the artifact.

Method and electronic device for removing artifact in high resolution image

A method for processing image data, may include: receiving at least one image; segregating the at least one image into at least one region, based on a requested noise reduction level; and denoising the at least one image by varying at least one control feature of the segregated at least one region by a neural network to achieve the requested noise reduction level.

Methods and systems for denoising media using contextual information of the media

Apparatus and methods for generating High Dynamic Range (HDR) media, based on multi-stage compensation of motion in a captured scene is disclosed in the embodiments herein. Embodiments herein relates to the field of image processing devices suitable for processing two or more images of different exposures and more particularly to apparatus and methods for generating a High Dynamic Range (HDR) media, based on a multi-stage compensation of motion in a captured scene. The apparatus is configured to correct exposure alignment error and media registration error from a registered plurality of media frames comprising a plurality of exposure levels corresponding to the captured scene. The apparatus is configured to remove a plurality of false ghost artefacts in the plurality of media frames. The apparatus is configured to generate the HDR media, based on a generated ghost map.

Apparatus and methods for generating high dynamic range media, based on multi-stage compensation of motion

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Bengaluru, India

Green Rosh K S