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US Patent 11783231 System and method for joint image refinement and perception

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11783231
Patent Inventor Names
Felix Heide
Date of Patent
October 10, 2023
Patent Application Number
17712727
Date Filed
April 4, 2022
Patent Citations
‌
US Patent 7821266 Method and device for optimization of imaging parameters
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US Patent 8160149 Flowfield motion compensation for video compression
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US Patent 8295565 Method of image quality assessment to produce standardized imaging data
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US Patent 8352400 Adaptive pattern recognition based controller apparatus and method and human-factored interface therefore
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US Patent 8401248 Method and system for measuring emotional and attentional response to dynamic digital media content
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US Patent 8451504 Banding defect detection in digital imaging systems
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US Patent 8462996 Method and system for measuring human response to visual stimulus based on changes in facial expression
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US Patent 8620852 Systems, methods, and computer program products for predictive accuracy for strategic decision support
...
Patent Citations Received
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US Patent 11954600 Image processing device, image processing method and image processing system
0
Patent Primary Examiner
‌
Yosef Kassa
CPC Code
‌
G06T 5/30
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G06T 3/4053
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H04N 19/63
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H04N 19/61
Patent abstract

System and method for joint refinement and perception of images are provided. A learning machine employs an image acquisition device for acquiring a set of training raw images. A processor determines a representation of a raw image, initializes a set of image representation parameters, defines a set of analysis parameters of an image analysis network configured to process the image's representation, and jointly trains the set of representation parameters and the set of analysis parameters to optimize a combined objective function. A module for transforming pixel-values of the raw image to produce a transformed image comprising pixels of variance-stabilized values, a module for successively performing processes of soft camera projection and image projection, and a module for inverse transforming the transformed pixels are disclosed. The image projection performs multi-level spatial convolution, pooling, subsampling, and interpolation.

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