PATENT CLAIM ANALYSIS

Application Number: 15900588
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["358", "003060"]

Abstract:
Systems and methods for enhancing an image for printing include identifying a plurality of true edge positions in a scanned digital image, generating an edge restoration signal based on image data at the plurality of true edge positions, generating a boost value for each pixel position in the image as a function of the edge restoration signal and an unsharp masking of the image, and generating an enhanced image. A system may include a print interface, an image interface receiving a digital image without an explicit K component, and an image processing module that computes a halftone energy measure, an edge strength, and a colorfulness measure, generate a K component based on the halftone energy measure, the edge strength, and the colorfulness measure, and output data representing the image and a K component to the print engine.

Claim (Index 17):
The system of  claim 16 , wherein the image processing module is further operable to analyze the filtered luminance values to identify the plurality of true edge positions in the image, and generate the edge restoration signal based on the filtered luminance values at the plurality of true edge positions in the image.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 88.0
- Lexical Diversity: 2.38095
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14225476', '09496329', '11277190', '10143617', '11202720']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5268247544243788
- 35 USC 102 Novelty (BERT): 0.4803972853979705
- Combined Prediction Score: 0.522182007521738
- Mean Citation Score: 176.40723200000005
- Max Citation Score: 180.90688
- Similarity Product: 134.6291408976364

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