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 7):
The method of  claim 1 , wherein a number of frames per second processed by the plurality of neurosynaptic core circuits depends on at least one of: a selected pixel encoding scheme, distortion coefficients, image size, and a selected maximum number of neurons used.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 91.0
- Lexical Diversity: 2.03774
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15495472', '15967362', '14315303', '15847509', '15495487']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4366213829766158
- 35 USC 102 Novelty (BERT): 0.5889285812303452
- Combined Prediction Score: 0.4518521028019888
- Mean Citation Score: 434.134218
- Max Citation Score: 482.70947
- Similarity Product: 476.1220393616957

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