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 17):
An apparatus 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, the apparatus comprising:\n an optical sensor; at least one nontransitory processor-readable storage medium that stores at least one of instructions or data; at least one processor operatively coupled to the optical sensor, the display panel, and the at least one nontransitory processor-readable storage medium, in operation, the at least one processor:\n causes at least a subset of the pixels in the at least a portion of the display panel to emit light; \n causes the optical sensor to sense the light emitted by each of the pixels; \n estimates energy emitted for each of the pixels based at least in part on the sensing of the light emitted by each of the pixels; \n computes 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 \n stores the computed set of per-pixel correction factors in the 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): 0.594193608676853
- 35 USC 102 Novelty (BERT): 0.508362945401711
- Combined Prediction Score: 0.5856105423493388
- Mean Citation Score: 148.39606700000004
- Max Citation Score: 279.14273
- Similarity Product: 216.91262198388927

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