PATENT CLAIM ANALYSIS

Application Number: 15874303
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["382", "275000"]

Abstract:
A setting circuit sets a quantization value per input image on the basis of a noise value of the whole input image, and a quantization circuit performs quantization on first image data to generate second image data. Quantization value based on the noise value the whole input image can realize appropriate denoising depending on the noise level of the whole input image.

Claim (Index 1):
An image processing method for denoising of an input image to generate an output image, the method comprising:\n transforming first image data of a spatial region extracted from the input image in a unit of a predetermined block into second image data of a frequency region including a plurality of frequency components; calculating a per-block noise value based on the first image data; setting a first quantization value per input image based on a noise value of the whole input image; quantizing the second image data based on the first quantization value to generate third image data with noise in the input image removed; and generating the output image base on the third image data.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 1.9697
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15388821', '15388959', '14636794', '13033822', '11515590']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3343540462741362
- 35 USC 102 Novelty (BERT): 0.4861480218226141
- Combined Prediction Score: 0.349533443828984
- Mean Citation Score: 214.212712
- Max Citation Score: 268.64636
- Similarity Product: 251.6236521219921

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