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 14):
The apparatus according to  claim 13 , wherein in a predetermined region of the input image having undergone the recovery processing, a dot arrangement priority of each pixel in the input image having undergone the recovery processing is calculated based on a pixel value of the pixel, a threshold corresponding to the pixel, and a recovery amount corresponding to the pixel, and dots matching the calculated number of dots are arranged in pixels having higher dot arrangement priorities.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 94.0
- Lexical Diversity: 2.70833
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15630162', '15490617', '15075574', '15757030', '15982315']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5279318349638487
- 35 USC 102 Novelty (BERT): 0.5084300357836039
- Combined Prediction Score: 0.5259816550458242
- Mean Citation Score: 209.197046
- Max Citation Score: 235.38716
- Similarity Product: 153.22541553826568

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