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Image restoration method and system based on compressed sensing

A technology of image restoration and compressed sensing, which is applied in the field of signal processing and can solve problems such as limitations of real-time applications

Inactive Publication Date: 2016-03-02
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method solves the problem of data storage while maintaining the restoration effect, and also reduces the amount of calculation to a certain extent. However, when the image size continues to increase and more projection values ​​are required, its real-time application still has limitations.

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  • Image restoration method and system based on compressed sensing
  • Image restoration method and system based on compressed sensing
  • Image restoration method and system based on compressed sensing

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Embodiment Construction

[0055] The invention discloses an image restoration method based on compressed sensing, comprising the following steps:

[0056] In step S1, a pair of size N 1 ×N 2 natural images of After being projected by the separation-aware operator, the projection value is Y = Φ 1 X Φ 2 T ∈ R M 1 × M 2 , in Φ 1 ∈ R M 1 × N 1 , Φ 2 ∈ R M 2 × ...

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Abstract

The invention provides a method and a system for restoring an image based on compressed sensing. In the method for restoring the image based on compressed sensing, the original image is restored by a row preferentially segregated restoration process, a line preferentially segregated restoration process or a segregation-combination restoration process. The method and the system have the beneficial effects that the line preferentially segregated restoration process or the row preferentially segregated restoration process has low calculation complexity, high calculation speed and small data memory amount and can process large pictures, and the segregation-combination restoration process has slightly higher calculation complexity but can restore the image with a higher quality.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to an image restoration method and system based on compressed sensing. Background technique [0002] There has always been a problem in the field of compressed sensing image processing (Compressive Imaging), that is, the amount of data storage that increases quadratically with the increase of image size limits research in this field to small-size images and low-speed applications. How to reduce the complexity of encoding and decoding to improve the timeliness of compressed sensing image processing applications has become an important issue. [0003] In 2009, Yair Rivenson and Adrian Stern proposed a projection method for separating operators, which solved the calculation problem of the projection step well. However, the computational complexity problem of the reduction step corresponding to this method still exists. At present, there are two main restoration algorithms for this ki...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T9/00
Inventor 吴绍华林燕李云鹤焦健赵睿思
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL