PATENT CLAIM ANALYSIS

Application Number: 15861215
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-03
Patent Classification: ["345", "690000"]

Abstract:
An electronic display pipeline may process image data for display on an electronic display. The electronic display pipeline may include burn-in compensation statistics collection circuitry and burn-in compensation circuitry. The burn-in compensation statistics collection circuitry may collect image statistics based at least in part on the image data. The statistics may estimate a likely amount of non-uniform aging of the sub-pixels of the electronic display. The burn-in compensation circuitry may apply a gain to sub-pixels of the image data to account for non-uniform aging of corresponding sub-pixels of the electronic display. The applied gain may be based at least in part on the image statistics collected by the burn-in compensation statistics collection circuitry.

Claim (Index 15):
The electronic display pipeline of  claim 14 , comprising:\n a deGamma block configured to receive input image data in a gamma color space, convert the input image data in the gamma color space into the image data in the linear color space, and provide the image data in the linear color space to the burn-in compensation processing circuitry; and a reGamma block configured to receive the image data in the linear color space from the burn-in compensation processing circuitry and convert the image data in the linear color space into output image data in the gamma color space for further processing in the electronic display pipeline or for display on the electronic display.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 86.0
- Lexical Diversity: 2.70455
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12789810', '14822316', '14023359', '14871894', '13485124']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6743604112027979
- 35 USC 102 Novelty (BERT): 0.4951161314346898
- Combined Prediction Score: 0.6564359832259871
- Mean Citation Score: 223.53952400000003
- Max Citation Score: 231.71136
- Similarity Product: 159.2764238465881

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test