PATENT CLAIM ANALYSIS

Application Number: 16087652
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-12
Patent Classification: ["345", "590000"]

Abstract:
The present disclosure provides a gamut mapping method including acquiring a first coordinate value of a target pixel point P in a Lab color space according lo digital values of the target pixel point P in a large gamut area; determining a hue plane in which the target pixel point P is located, and determining (H, C, L) of the target pixel point P; mapping the target pixel point P to the small gamut area to acquire a second coordinate value of a mapped pixel point P 1  in the Lab color space; and acquiring mapped digital values of the mopped pixel point P 1  in the small gamut area.

Claim (Index 10):
The gamut mapping method for compressing the out-of-gamut area to the in-of-gamut area of  claim 5 , wherein the step of acquiring the first coordinate value of the target pixel point P in the Lab color space according to the digital values of the target pixel point P in the large gamut area comprises:\n transforming the digital values of the target pixel point P into RGB optical values: transforming the RGB optical values into XYZ tristimulus values by a TM matrix; and transforming the XYZ tristimulus values into the first coordinate of the target pixel point P in the Lab color space.

Metadata:
- Claim Count in Document: 31.0
- Percentile: 97.0
- Lexical Diversity: 2.33333
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15742516', '15736928', '12348930', '11396693', '13960605']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6564336256856406
- 35 USC 102 Novelty (BERT): 0.5431383520089615
- Combined Prediction Score: 0.6451040983179727
- Mean Citation Score: 285.894478
- Max Citation Score: 378.84756
- Similarity Product: 253.4211412135291

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

Dataset: test