PATENT CLAIM ANALYSIS

Application Number: 15967373
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-09
Patent Classification: ["382", "275000"]

Abstract:
One or more embodiments provide method for image distortion correction including receiving, by multiple neurosynaptic core circuits, a set of inputs comprising image dimensions and pixel distortion coefficients for at least one image frame via at least one input core circuit. Each distorted pixel is mapped to zero or more undistorted pixels by processing the set of inputs corresponding to each pixel of the at least one image frame by the at least one input core circuit. Corresponding pixel intensity values of each distorted pixel are routed to output undistorted pixels for each image frame via the at least one output core circuit.

Claim (Index 8):
A method for image distortion correction, the method comprising:\n receiving, by at least one neurosynaptic core circuit of a plurality of neurosynaptic core circuits, a set of inputs comprising image dimensions and pixel distortion coefficients for at least one image frame via at least one core circuit, wherein the set of inputs are based on using a pixel distortion model for determining the pixel distortion coefficients of each image frame, a selected pixel encoding scheme is used for encoding the pixels of each image frame, and the selected pixel encoding scheme is based on a determined number of spikes entering a particular axon type; mapping each distorted pixel to zero or more undistorted pixels by processing the set of inputs corresponding to each pixel of the at least one image frame by the at least one input core circuit; and routing corresponding pixel intensity values of each distorted pixel to output undistorted pixels for each image frame via at least one output core circuit.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 91.0
- Lexical Diversity: 2.03774
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15495472', '15967362', '14315303', '15847509', '15495487']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4084499144657509
- 35 USC 102 Novelty (BERT): 0.5848257925937378
- Combined Prediction Score: 0.4260875022785496
- Mean Citation Score: 434.134218
- Max Citation Score: 482.70947
- Similarity Product: 465.2845643733322

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test