PATENT CLAIM ANALYSIS

Application Number: 15977661
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["382", "167000"]

Abstract:
A computer-implemented method for color correction includes obtaining a noise evaluation image by adding noise to a noise-free image, color correcting the noise evaluation image using a plurality of color correction parameters, color correcting the noise-free image using the plurality of color correction parameters, determining a noise amplification metric at least by comparing the corrected noise evaluation image with the corrected noise-free image, and adjusting the plurality of color correction parameters based on the noise amplification metric.

Claim (Index 9):
A system, comprising:\n a memory that stores one or more computer-executable instructions; and one or more processors configured to access the memory and execute the computer-executable instructions to perform a method comprising: obtaining a noise evaluation image by adding noise to a noise-free image; color correcting the noise evaluation image using a plurality of color correction parameters; color correcting the noise-free image using the plurality of color correction parameters; determining a noise amplification metric at least by comparing the corrected noise evaluation image with the corrected noise-free image; and adjusting the plurality of color correction parameters based on the noise amplification metric.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.27778
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15646301', '15176037', '15179857', '14715609', '11649765']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2893072274780668
- 35 USC 102 Novelty (BERT): 0.5443159851992474
- Combined Prediction Score: 0.3148081032501849
- Mean Citation Score: 237.680178
- Max Citation Score: 382.83276
- Similarity Product: 332.9842043345476

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