PATENT CLAIM ANALYSIS

Application Number: 15749554
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["345", "660000"]

Abstract:
The present application provides a method and a device for super-resolution image reconstruction based on dictionary matching. The method includes: establishing a matching dictionary library; inputting an image to be reconstructed into a multi-layer linear filter network; extracting a local characteristic of the image to be reconstructed; searching the matching dictionary library for a local characteristic of a low-resolution image block having the highest similarity with the local characteristic of the image to be reconstructed; searching the matching dictionary library for a residual of a combined sample where the local characteristic of the low-resolution image block with the highest similarity is located; performing interpolation amplification on the local characteristic of the low-resolution image block having the highest similarity; and adding the residual to a result of the interpolation amplification to obtain a reconstructed high-resolution image block. The local characteristics of the image to be reconstructed extracted by the multi-layer linear filter network have higher precision. Thus, a higher matching degree can be obtained during subsequent matching with the matching dictionary library, and the reconstructed image has a better quality. Therefore, the present invention can greatly improve the quality of the high-resolution image to be reconstructed.

Claim (Index 9):
The device of  claim 8 , wherein the extracting unit comprises:\n a first-stage filter configured to filter the input image block to be reconstructed by using N linear filter windows with different sizes to obtain corresponding N filtered images and output to the next stage filter, wherein the filtered image comprises: a line characteristic of the image, where N is an integer greater than one; a second-stage filter configured to filter the N filtered images output from the first-stage filter by using M linear filter windows with different sizes to obtain corresponding M\u00d7N filtered images, where M is an integer greater than one; a filtering module configured to output all the filtered images obtained by each stage filter to a next-stage filter repeatedly, wherein the next-stage filter filters all filtered images output from the previous stage filter by using multiple linear filter windows with different sizes until filtering by a last stage filter is completed, wherein all filtered images are output to the mapping layer of the multi-layer linear filter network; a mapping layer configured to perform binarization on all the filtered images of the filter layer and outputting them to the output layer of the multi-layer linear filter network; and an output layer configured to concatenate and output the binarized filtered image output by the mapping layer, to obtain a local characteristic of the input image block to be reconstructed.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 88.0
- Lexical Diversity: 2.72727
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15526138', '14615075', '15481430', '15060627', '14786981']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6249292759620579
- 35 USC 102 Novelty (BERT): 0.4953986934415963
- Combined Prediction Score: 0.6119762177100119
- Mean Citation Score: 205.543122
- Max Citation Score: 218.658
- Similarity Product: 163.4290002669096

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

Dataset: test