PATENT CLAIM ANALYSIS

Application Number: 15741781
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-01
Patent Classification: ["382", "156000"]

Abstract:
An image upscaling system includes at least two convolutional neural network modules and at least one synthesizer. The convolutional neural network module and the synthesizer are alternately connected to one another. The first convolutional neural network module receive an input image and the corresponding supplemental image, generate a first number of the feature images, and output them to the next synthesizer connected thereto. Other convolutional neural network modules each may receive the output image from the previous synthesizer and the corresponding supplemental image, generate a second number of feature images, and output them to the next synthesizer connected thereto, or output them from the image upscaling system. The synthesizer may synthesize every n*n feature images in the received feature image into one feature image and output the resultant third number of feature images to the next convolutional neural network module connected thereto or output them from the image upscaling system.

Claim (Index 1):
An image upscaling system, comprising: at least two convolutional neural network modules; and at least one synthesizer;\n wherein the convolutional neural network module and the synthesizer are alternately connected to one another and the synthesizer is connected between two adjacent convolutional neural network modules; a first convolutional neural network module of the at least two convolutional neural network modules is configured to receive an input image and a supplemental image of the same resolution as the input image, to generate a first number of feature images based on the input image and the supplemental image of the same resolution as the input image, and to output the first number of feature images to the next synthesizer connected thereto; each of the other convolutional neural network modules of the at least two convolutional neural network modules is configured to receive an output image from the previous synthesizer and a supplemental image of the same resolution as the received output image, to generate a second number of feature images based on the output image and the supplemental image of the same resolution as the output image, and to output the second number of feature images to the next synthesizer connected thereto or as output of the image upscaling system; and the synthesizer is configured to synthesize every n*n feature images in the received feature images into one feature image, and to output a third number of feature images synthesized to the next convolutional neural network module connected thereto or as output of the image upscaling system; where n denotes an upscaling magnification factor of the synthesizer, which is an integer greater than 1, and the number of feature images received by the synthesizer is a multiple of n*n.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.84211
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15821095', '15745091', '15784039', '15842402', '15518404']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3115655766667314
- 35 USC 102 Novelty (BERT): 0.5233787390054617
- Combined Prediction Score: 0.3327468929006045
- Mean Citation Score: 270.06995
- Max Citation Score: 328.58008
- Similarity Product: 271.40429812233447

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

Dataset: test