Samsung Electronics Co., Ltd.

Aniket Devdatta Rege

Sudha Velusamy

Swadha Jaiswal

Ravi Prasad Mohan Kini

Rahul Varna

Daeyoung Hyun

Girish Kulkarni

Gaurav Ramola

Pradeep Kumar Vegireddi

Nikhar Maheshwari

Sai Pranav Mathivanan

Rishubh Parihar

Embodiments herein provide a method for detecting a candid moment in an image frame. The method includes: receiving, by an electronic device, image frames; determining, by the electronic device, a candid score of each image frame in the image frames using a Machine Learning (ML) model, wherein the candid score is a quantitative value of candidness present in the image frames; determining, by the electronic device, whether the candid score of the image frame in the image frames meets a threshold candid score; identifying, by the electronic device, that the candid moment is present in the image frame in response to determining that the candid score of the image frame meets the threshold candid score; and displaying, by the electronic device, the image frame comprising the candid moment.

Method and electronic device for detecting candid moment in image frame

A method includes determining information indicative of at least one facial characteristic associated with at least one face in the source image, processing the source image using a filter based on the determined information, performing wavelet decomposition on each of the filtered image and the source image, determining weightage factors associated with the wavelet decomposition of each of the filtered image and the source image, based on the determined information, obtaining a wavelet image to generate a texture restored image from the wavelet decomposition of each of the filtered image and the source image based on the weightage factors.

Method and electronic device for processing facial images

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Karnataka, India

Aniket Devdatta Rege