PATENT CLAIM ANALYSIS

Application Number: 16027761
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["345", "690000"]

Abstract:
The present disclosure provides an electronic device capable of displaying and performing color compensation and a color compensation method. The color compensation method comprises: obtaining one or more brightness values for an original image from at least one of a screen brightness value and an ambient brightness value of the electronic device; determining whether each of the one or more brightness values is lower than a corresponding one of one or more threshold values, respectively; and enabling a color enhancement mode in events where each of the one or more brightness values is lower than the corresponding one of one or more threshold values, respectively, wherein the color enhancement mode comprises performing a color saturation compensation to enhance a saturation of the original image for display on a screen of the electronic device.

Claim (Index 14):
The processor of  claim 13 , wherein in performing the color saturation compensation, the compensation circuit determines a compensation factor according to the ratio of the optimal human eye color sensibility value to the current human eye color sensibility value and compensates the saturation of the original image with the compensation factor.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 95.0
- Lexical Diversity: 2.43103
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14826213', '12690150', '14820528', '14804197', '15262777']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6774014887615694
- 35 USC 102 Novelty (BERT): 0.5591105044169331
- Combined Prediction Score: 0.6655723903271058
- Mean Citation Score: 246.157254
- Max Citation Score: 457.80893
- Similarity Product: 324.9196264248663

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