PATENT CLAIM ANALYSIS

Application Number: 15954941
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["348", "229100"]

Abstract:
An image processing device for generating an output image front an input image of a scene, the input image being the first image and the output image being the second image, the output image corresponds to an exposure that is different from an exposure of the input image, the image processing device comprising an intensity transformer that is configured to determine one or more intensities of an output pixel of the output image based on an input patch around an input pixel of the input image that corresponds to the output pixel.

Claim (Index 19):
A method for learning an intensity transformation, comprising:\n extracting a plurality of source patches from a plurality of source training images and extracting a plurality of target patches from a plurality of target training images, each source patch of the plurality of source patches comprising two or more pixels of a respective one of the source training images and each target patch of the plurality of target patches comprising one or more pixels of a respective one of the target training images, and training a machine learning algorithm comprising a convolutional neural network with each of the plurality of source patches and the plurality of target patches corresponding to the plurality of source patches, the plurality of source training images corresponding to the plurality of target training images as a pair based on a same scene, and the plurality of source training images corresponding to the plurality of target training images having been acquired with different exposures.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 91.0
- Lexical Diversity: 2.34146
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15701543', '15883112', '14734466', '14339891', '13138894']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6128863964799042
- 35 USC 102 Novelty (BERT): 0.4948047679513923
- Combined Prediction Score: 0.601078233627053
- Mean Citation Score: 210.772498
- Max Citation Score: 234.46819
- Similarity Product: 166.00367518173277

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