PATENT CLAIM ANALYSIS

Application Number: 16019879
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["358", "534000"]

Abstract:
To implement sharpness recovery processing suitable for an image, an image processing apparatus for generating, based on an input image, a halftone image to be provided to an image forming unit which forms an image on a printing medium, comprises: a recovery processing unit configured to perform, on the input image, recovery processing for compensating for sharpness degradation in an image formed by the image forming unit; a generating unit configured to generate a recovery amount of each pixel by using the input image having undergone the recovery processing; and a halftone processing unit configured to generate, based on the recovery amount, the halftone image by performing halftone processing on the input image having undergone the recovery processing.

Claim (Index 17):
The apparatus according to  claim 1 , further comprising a color separation processing unit configured to convert the input image having undergone the recovery processing into an image corresponding to each coloring material of the image forming unit,\n wherein the halftone processing unit executes the halftone processing on an image of each color output from the color separation processing unit.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 94.0
- Lexical Diversity: 2.70833
- Patent Class: 358.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15630162', '15490617', '15075574', '15757030', '15982315']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5012119464210291
- 35 USC 102 Novelty (BERT): 0.4933193332295206
- Combined Prediction Score: 0.5004226851018783
- Mean Citation Score: 209.197046
- Max Citation Score: 235.38716
- Similarity Product: 181.66291062893632

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

Dataset: test