Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Observation matrix optimization method

A technology of observation matrix and optimization method, which is applied in the field of image processing, can solve problems such as unsatisfactory quality of reconstructed light field, achieve the effect of improving the quality of reconstructed light field, reducing storage space, and improving the quality of light field reconstruction

Inactive Publication Date: 2016-06-01
BEIJING UNIV OF TECH
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In the current method, the quality of the reconstructed light field is not ideal

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Observation matrix optimization method
  • Observation matrix optimization method
  • Observation matrix optimization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] Such as figure 1 As shown, this observation matrix optimization method, the method includes the following steps:

[0019] (1) To explore the process of the observation matrix function in light field photography based on compressed sensing;

[0020] (2) Deduce the structured observation matrix P according to the special structure of the camera;

[0021] (3) Utilize sparse dictionary training algorithm to carry out dictionary training from sample library, obtain dictionary D;

[0022] (4) Combining with the structured observation matrix P, according to the inconsistency between the observation matrix and the dictionary in compressed sensing, an optimized solution algorithm is designed to obtain the optimized observation matrix OP.

[0023] The present invention improves the reconstruction quality of the light field by synergistically optimizing the observation and dictionary training methods, and collects the most useful partial signals of the light field by optimizing ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an observation matrix optimization method which can reduce storage space of a light field and greatly enhance the quality of the reconstructed light field. The method comprises the steps that (1) the affecting process of an observation matrix based on a compression perception light field photography technology is explored; (2) a structured observation matrix P is inferred according to the special structure of a camera; (3) dictionary training is performed from a sample library by utilizing a sparse dictionary training algorithm so that a dictionary D is obtained; and (4) an optimized solving algorithm is designed according to inconsistency of the observation matrix in compression perception and the dictionary with combination of the structured observation matrix P so that an optimized observation matrix P is obtained.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an observation matrix optimization method. Background technique [0002] Compressed sensing (compressed sensing, CS) is a novel theory that has emerged in recent years. It is different from the traditional Nyquist sampling theorem, which points out that as long as the signal is compressible or sparse in a certain transform domain, then the transformed high-dimensional The signal is projected onto a low-dimensional space, and then the original signal can be reconstructed with high probability from these few projections by solving an optimization problem. The signal reconstruction of compressed sensing can often be transformed into a solution to an optimal sparse representation problem. Methods for solving such problems include mathematical programming algorithm, greedy algorithm, convex set projection algorithm, etc. [0003] The light field is a parametric...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H03M7/30
CPCH03M7/3062
Inventor 施云惠臧秀环刘浩葛启彬丁文鹏尹宝才
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com