Invention Grant
- Patent Title: Lossless representation of high dynamic range (HDR) images for neural network inferencing
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Application No.: US17381903Application Date: 2021-07-21
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Publication No.: US11954826B2Publication Date: 2024-04-09
- Inventor: Karthikeyan Shanmuga Vadivel
- Applicant: Synaptics Incorporated
- Applicant Address: US CA San Jose
- Assignee: Synaptics Incorporated
- Current Assignee: Synaptics Incorporated
- Current Assignee Address: US CA San Jose
- Agency: Paradice & Li LLP
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06N3/04 ; G06N3/08 ; G06T1/20 ; G06T3/40 ; G06T3/4053 ; H04N23/80

Abstract:
This disclosure provides methods, devices, and systems for neural network inferencing. The present implementations more specifically relate to performing inferencing operations on high dynamic range (HDR) image data in a lossless manner. In some aspects, a machine learning system may receive a number (K) of bits of pixel data associated with an input image and subdivide the K bits into a number (M) of partitions based on a number (N) of bits in each operand operated on by an artificial intelligence (AI) accelerator, where N
Public/Granted literature
- US20230031349A1 LOSSLESS REPRESENTATION OF HIGH DYNAMIC RANGE (HDR) IMAGES FOR NEURAL NETWORK INFERENCING Public/Granted day:2023-02-02
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