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 6):
The method of  claim 3 , wherein the steps of inputting an image block to be reconstructed into a multi-layer linear filter network, and extracting a local characteristic of the image to be reconstructed comprise:\n Step  1 : wherein a multi-layer linear filter network comprises a filter layer, filtering an input image block to be reconstructed by a first-stage filter of the filter layer 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 includes a line characteristic of the image, where N is an integer greater than one; Step  2 : filtering the N filtered images output from the first-stage filter by a second-stage filter of the filter layer using M linear filter windows with different sizes to obtain corresponding M\u00d7N filtered images, where M is an integer greater than one; Step  3 : outputting all the filtered images obtained by each stage filter to a next stage filter repeatedly; filtering all filtered images output from the previous stage filter by the next stage filter using multiple linear filter windows with different sizes until filtering by the last stage filter is completed; outputting all filtered images to the mapping layer of the multi-layer linear filter network; Step  4 : performing binarization on all the filtered images of the filter layer by the mapping layer to output to the output layer of the multi-layer linear filter network; and Step  5 : concatenating and outputting, by the output layer, 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): 0.6223169136361698
- 35 USC 102 Novelty (BERT): 0.5068944820295851
- Combined Prediction Score: 0.6107746704755114
- Mean Citation Score: 205.543122
- Max Citation Score: 218.658
- Similarity Product: 142.3159699730873

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