PATENT CLAIM ANALYSIS

Application Number: 16009384
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["348", "241000"]

Abstract:
An image processing apparatus includes an image acquisition unit that acquires a captured image of an object captured through an imaging lens, a coordinate transformation unit that performs coordinate transformation for the captured image such that a sagittal resolution in a direction tangent to circumference having a center of an imaging surface as an origin and a tangential resolution in a radial direction perpendicular to the tangential direction are close to each other at a designated spatial frequency, and a resolution enhancement processing unit that performs a rotationally-symmetric resolution enhancement process for the coordinate-transformed image. According to this aspect, a rotationally-symmetric filter can be used for the resolution enhancement process. It is possible to prevent an increase in filter size or to perform a process at a high speed. It is possible to prevent a process from being complicated due to the use of the filter for coordinate transformation.

Claim (Index 10):
The image processing apparatus according to  claim 3 ,\n wherein the coordinate transformation unit corrects the distortion of the imaging lens using the coordinate transformation.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 94.0
- Lexical Diversity: 2.08
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15920755', '14837709', '13379397', '15288485', '10071853']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6444463978603229
- 35 USC 102 Novelty (BERT): 0.5236117611268281
- Combined Prediction Score: 0.6323629341869733
- Mean Citation Score: 220.877866
- Max Citation Score: 331.98523
- Similarity Product: 239.9443262476814

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

Dataset: test