PATENT CLAIM ANALYSIS

Application Number: 15960168
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["348", "218100"]

Abstract:
Systems and methods for synthesizing high resolution images using image deconvolution and depth information in accordance embodiments of the invention are disclosed. In one embodiment, an array camera includes a processor and a memory, wherein an image deconvolution application configures the processor to obtain light field image data, determine motion data based on metadata contained in the light field image data, generate a depth-dependent point spread function based on the synthesized high resolution image, the depth map, and the motion data, measure the quality of the synthesized high resolution image based on the generated depth-dependent point spread function, and when the measured quality of the synthesized high resolution image is within a quality threshold, incorporate the synthesized high resolution image into the light field image data.

Claim (Index 2):
The array camera of  claim 1 , further comprising an array camera module comprising an imager array having multiple focal planes and an optics array configured to form images through separate apertures on each of the focal planes;\n wherein the array camera module is configured to communicate with the processor; and wherein the obtained light field image data comprises image data captured by the imager array.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 91.0
- Lexical Diversity: 2.14062
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14200629', '15258947', '14520266', '12967807', '14519659']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6314562232521995
- 35 USC 102 Novelty (BERT): 0.5218073990347649
- Combined Prediction Score: 0.6204913408304561
- Mean Citation Score: 258.858264
- Max Citation Score: 353.0920700000001
- Similarity Product: 351.05452958417777

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

Dataset: test