PATENT CLAIM ANALYSIS

Application Number: 15761374
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["382", "154000"]

Abstract:
The present disclosure relates to an image processing device, an image processing method, and a program which are capable of improving the image quality using a plurality of images captured by a plurality of imaging units. The presence or absence of mutual parallax is determined using a main image including a low sensitivity high resolution image captured by a high resolution imaging unit and a sub image including a low resolution high sensitivity image captured by a high sensitivity imaging unit, and when there is parallax, similar pixels searched in the sub image are synthesized with respective pixels of the main image through a search synthesis process, and when there is no parallax, pixels at the same position are synthesized through an optimal synthesis process. The present disclosure can be applied to an imaging device.

Claim (Index 7):
The image processing device according to  claim 1 , further comprising\n a characteristic adjusting unit configured to adjust characteristics of the first image and the second image to make the characteristics coincide with each other, wherein the parallax determining unit determines whether there is parallax for the first image and the second image whose characteristics are adjusted to coincide with each other by the characteristic adjusting unit.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 2.21538
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16315807', '14039700', '14642777', '13674333', '12094051']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3303543267032639
- 35 USC 102 Novelty (BERT): 0.4755593152560933
- Combined Prediction Score: 0.3448748255585468
- Mean Citation Score: 191.199066
- Max Citation Score: 200.15456
- Similarity Product: 156.7580978325653

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

Dataset: test