PATENT CLAIM ANALYSIS

Application Number: 16227256
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["345", "690000"]

Abstract:
A method that includes an initial uniform pixel measurement and interpolation followed by an edge detection algorithm to recognize the areas that contribute mostly to the estimation error due to the interpolation. The pixels on the detected edges and around their vicinity are also measured, and an aging pattern of the entire display is obtained by re-interpolating the entire measured set of data for the initially measured pixels as well as the pixels around the detected edges. The estimation error is reduced particularly in the presence of aging patterns having highly spatially correlated areas with distinctive edges.

Claim (Index 35):
The method of  claim 24 , wherein the estimation matrix corresponds to a pixel resolution of the display, wherein each entry in the estimation matrix corresponds to a respective pixel of the display, and wherein each value of each entry in the estimation matrix corresponds to an amount by which the respective pixel characteristic of the pixel causes non-uniformity, such that a corresponding compensation value is applied to increase the programmed brightness for the pixel to compensate for non-uniformity caused by the pixel characteristic of the pixel.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 98.0
- Lexical Diversity: 1.60317
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15783852', '15363290', '15050700', '14209392', '15466468']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7161334339279898
- 35 USC 102 Novelty (BERT): 0.5631899025900543
- Combined Prediction Score: 0.7008390807941962
- Mean Citation Score: 392.204078
- Max Citation Score: 460.2326
- Similarity Product: 330.0222472881198

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