Samsung Electronics Co., Ltd.

Sirish Kumar Pasupuleti

Raj Narayana Gadde

Chandra Kumar Ramasamy

Sri Nitchith Akula

Vasanthakumar Rajagopal

Narasinga Rao Miniskar

Ashok Vishnoi

Avinab Saha

A method and an electronic device for performing an AI based zoom of an image in an electronic device are provided. The method includes receiving the image; obtaining, through a pixel domain neural network (NN) block, a first set of feature maps of the image based on pixels of the image; obtaining, through a frequency domain NN block, a second set of feature maps of the image based on frequencies of the image; and obtaining, through a joint refinement NN block, a final image with a resolution higher than a resolution of the image, based on the first set of feature maps and the second set of feature maps.

Method and electronic device for performing AI based zoom of image

The present disclosure disclose method and apparatus for determining memory requirement for processing a DNN model on a device, a method includes receiving a DNN model for an input, wherein the DNN model includes a plurality of processing layers. The method includes generating a network graph of the DNN model. The method includes creating a colored network graph of the DNN model based on the identified execution order of the plurality of processing layers. The colored network graph indicates assignment of at least one memory buffer for storing at least one output of at least one processing layer. The method includes determining at least one buffer reuse overlap possibility across the plurality of processing layers. Based on the determined at least one buffer reuse overlap possibility, the method includes determining and assigning the memory required for processing the DNN model.

Method and apparatus for determining memory requirement in a network

Growing community of inventors

Bengaluru, India

Sirish Kumar Pasupuleti