PATENT CLAIM ANALYSIS

Application Number: 16035016
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["382", "166000"]

Abstract:
Methods, systems, and non-transitory computer readable media for reconstructing electronic images using blurring and noise-enhanced pixel intensity resampling are disclosed. One method includes, at an image reconstructor including at least one processor, receiving an image compressed using an image compression algorithm. The method further includes decompressing the image using an image decompression algorithm. The method further includes modifying pixel intensities in the image by blurring and/or resampling the pixel intensities according to a noise distribution generated by the reconstructor without receiving a noise estimate from an image compressor. The method further includes outputting the image with the modified pixel intensities.

Claim (Index 16):
The system of  claim 9  wherein:\n the image is a first image in a sequence of video frames;\n the image reconstructor receives a second image in the sequence of video frames and compressed using the image compression algorithm; \n the image decompressor decompresses the second image using the image decompression algorithm; \n the pixel intensity blurrer/resampler modifies pixel intensities in the second image by blurring and/or resampling the pixel intensities according to a noise distribution generated by the reconstructor without receiving a noise estimate from an image compressor; and \n \n the pixel intensity blurrer/resampler selects, for each pixel position in the second image, a pixel intensity for the pixel position in the first image or a pixel intensity for the pixel position in the second image using a probability distribution that varies over time.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 95.0
- Lexical Diversity: 1.84746
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13211115', '11755357', '14577846', '13156586', '13703729']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3350223365725652
- 35 USC 102 Novelty (BERT): 0.4788086457074006
- Combined Prediction Score: 0.3494009674860487
- Mean Citation Score: 147.917544
- Max Citation Score: 154.47942
- Similarity Product: 106.63194860256672

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