PATENT CLAIM ANALYSIS

Application Number: 16277693
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["345", "589000"]

Abstract:
Methods and systems are disclosed for measuring pixel-by-pixel luminosity and/or chrominance variations on a display, encoding and/or storing the measurements as a set of global and/or pixel-by-pixel correction factors, and/or digitally manipulating imagery with the inverse effect as the measured variations, such that the appearance of visual artifacts caused by the variations is reduced. These methods and systems may be used, for example, as part of the production process for virtual reality headsets, as well as in other applications that make high-fidelity use of displays exhibiting such artifacts (e.g., cell phones, watches, augmented reality displays, and the like).

Claim (Index 1):
A method for reducing the appearance of visual artifacts caused by pixel-by-pixel energy emission variations exhibited in at least a portion of a display panel comprising a plurality of pixels, the method comprising:\n causing at least a subset of the pixels in the at least a portion of the display panel to emit light; sensing, via an optical sensor, the light emitted by each of the pixels in the at least a portion of the display panel; estimating energy emitted for each of the pixels based at least in part on the sensing of the light emitted by each of the pixels in the at least a portion of the display panel; computing a set of per-pixel correction factors based at least in part on a correction model and the estimated energy emitted for each of the pixels; and storing the computed set of per-pixel correction factors in at least one nontransitory processor-readable storage medium.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 99.0
- Lexical Diversity: 1.55556
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15239982', '13935688', '14949174', '14173599', '13296795']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.595809244330064
- 35 USC 102 Novelty (BERT): 0.4994584267355851
- Combined Prediction Score: 0.5861741625706162
- Mean Citation Score: 148.39606700000004
- Max Citation Score: 279.14273
- Similarity Product: 251.4038003689104

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