Invention Grant
- Patent Title: System and method for lossy image and video compression and transmission utilizing neural networks
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Application No.: US16397725Application Date: 2019-04-29
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Publication No.: US10373300B1Publication Date: 2019-08-06
- Inventor: Christian Lars Besenbruch , Arsalan Ali Zafar
- Applicant: Deep Render Ltd.
- Applicant Address: GB London
- Assignee: Deep Render Ltd.
- Current Assignee: Deep Render Ltd.
- Current Assignee Address: GB London
- Agency: Galvin Patent Law LLC
- Agent Brian R. Galvin
- Main IPC: G06K9/36
- IPC: G06K9/36 ; G06T5/50 ; H04N7/035 ; G06T7/00 ; G06T5/00 ; G06N3/04 ; G06N3/08 ; H04N7/12 ; G06T9/00

Abstract:
A system and method for lossy image and video compression and transmission that utilizes a neural network as a function to map a known noise image to a desired or target image, allowing the transfer only of hyperparameters of the function instead of a compressed version of the image itself. This allows the recreation of a high-quality approximation of the desired image by any system receiving the hyperparameters, provided that the receiving system possesses the same noise image and a similar neural network. The amount of data required to transfer an image of a given quality is dramatically reduced versus existing image compression technology. Being that video is simply a series of images, the application of this image compression system and method allows the transfer of video content at rates greater than existing technologies in relation to the same image quality.
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