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 21):
A method of improving images displayed by a display, the display comprising a plurality of pixels, each pixel comprising a light emitting device, the method comprising:\n measuring a pixel characteristic of each pixel of a sparse subset of the pixels to produce initial pixel measurements; determining gradient magnitudes of the initial pixel measurements; measuring the pixel characteristic of one or more pixels selected with use of the gradient magnitudes to produce additional pixel measurements; and compensating an image of the display based on the initial pixel measurements and the additional pixel measurements to improve the images displayed by the display.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 98.0
- Lexical Diversity: 1.60317
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15783852', '15363290', '15050700', '14209392', '15466468']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.686948570164725
- 35 USC 102 Novelty (BERT): 0.5717367236887738
- Combined Prediction Score: 0.6754273855171299
- Mean Citation Score: 392.204078
- Max Citation Score: 460.2326
- Similarity Product: 403.8253018020512

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