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US 12,608,760 B2Granted
Method and system of automatic content-dependent image processing algorithm selection
AssigneeIntel Corporation
InventorsChen Wang, Huan Dou, Sang-Hee Lee, Yi-Jen Chiu, Lidong Xu
Life of this patent
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Abstract
A method, system, and article is directed to automatic content-dependent image processing algorithm selection.
Claims20
A computer-implemented method of image processing, comprising:
- obtaining one or more frames of a video sequence;
- dividing a frame of the one or more frames into one or more sections;
- selecting between a non-neural network image processing algorithm and a neural network image processing algorithm to apply to a section of the one or more sections, wherein selecting comprises:
- determining whether the section is a salient section;
- based on the section being a non-salient section, selecting the non-neural network image processing algorithm;
- based on the section being a salient section, determining whether a standard deviation of the section's luminance channel meets a criterion;
- based on the standard deviation meeting the criterion, selecting the neural network image processing algorithm;
- and
- based on the standard deviation not meeting the criterion, selecting the non-neural network image processing algorithm;
- and
- applying the selected algorithm to the section.
8 more elements
A system for image processing, comprising:
- memory to at least store image data of frames of a video sequence;
- and
- processor circuitry being communicatively coupled to the memory and being arranged to operate by:
- obtaining one or more frames of a video sequence;
- dividing a frame of the one or more frames into one or more sections;
- selecting between a non-neural network image processing algorithm and a neural network image processing algorithm to apply to a section of the one or more sections, wherein selecting comprises:
- determining whether the section is a salient section;
- based on the section being a non-salient section, selecting the non-neural network image processing algorithm;
- based on the section being a salient section, determining whether a standard deviation of the section's luminance channel meets a criterion;
- based on the standard deviation meeting the criterion, selecting the neural network image processing algorithm;
- and
- based on the standard deviation not meeting the criterion, selecting the non-neural network image processing algorithm;
- and
- applying the selected algorithm to the section.
11 more elements
At least one non-transitory article having at least one computer readable medium comprising a plurality of instructions that in response to being executed on a computing device, cause the computing device to operate by:
- obtaining one or more frames of a video sequence;
- dividing a frame of the one or more frames into one or more sections;
- selecting between a non-neural network image processing algorithm and a neural network image processing algorithm to apply to a section of the one or more sections, wherein selecting comprises:
- determining whether the section is a salient section;
- based on the section being a non-salient section, selecting the non-neural network image processing algorithm;
- based on the section being a salient section, determining whether a standard deviation of the section's luminance channel meets a criterion;
- based on the standard deviation meeting the criterion, selecting the neural network image processing algorithm;
- and
- based on the standard deviation not meeting the criterion, selecting the non-neural network image processing algorithm;
- and
- applying the selected algorithm to the section.
8 more elements
Dependencies are inferred from the claim text.