PATENT CLAIM ANALYSIS

Application Number: 15979259
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["348", "222100"]

Abstract:
Techniques of reducing or eliminating artifact pixels in high dynamic range (HDR) imaging are described. One embodiment includes obtaining a first image of a scene at a first time with first exposure settings and obtaining a second image of the scene at a second time with second exposure settings that differ from the first exposure settings. The obtained images may be downsampled. The images may be compared to each other to assist with determining a number of potential artifact pixels in the scene. Depending on a relationship between the number of potential artifact pixels and a threshold value, the first image or second image may be selected as a reference image for registering the images with each other. A type of registration performed between the images may depend on which of the two images is the selected reference image. The registered images may be used to generate an HDR image.

Claim (Index 3):
The non-transitory computer readable medium of  claim 2 , further comprising additional instructions, which when executed by one or more processors, cause the one or more processors to:\n generate an output high dynamic range (HDR) image using the processed images.

Metadata:
- Claim Count in Document: 39.0
- Percentile: 93.0
- Lexical Diversity: 2.13333
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15273215', '14841055', '13490099', '14292792', '13090985']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6138396064951513
- 35 USC 102 Novelty (BERT): 0.5084200656049
- Combined Prediction Score: 0.6032976524061262
- Mean Citation Score: 213.95622200000005
- Max Citation Score: 288.9766
- Similarity Product: 211.43072691397663

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