Hexagon image reconstruction method based on compressed sensing

A technology of compressed sensing and image reconstruction, which is applied in the field of image processing, can solve the problem of unimproved false color, achieve the effect of improving aliasing phenomenon, reconstructing image quality, and high information utilization rate

Inactive Publication Date: 2013-07-03
XIDIAN UNIV
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can further accurately judge the direction of the edge, and is more helpful to improve...

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
  • Hexagon image reconstruction method based on compressed sensing
  • Hexagon image reconstruction method based on compressed sensing
  • Hexagon image reconstruction method based on compressed sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] refer to figure 1 , the present invention is based on compressed sensing hexagonal image reconstruction, and its implementation steps include the following:

[0043] Step 1, divide the quadrilateral image into a hexagonal grid image

[0044] Since there is no hexagonal sensor at present, in order to obtain a hexagonal grid image, the present invention adopts the method of patching together pixel grids; figure 2 Divide as shown, and obtain a hexagonal grid image x composed of multiple hexagonal pixels, each hexagonal pixel is composed of 56 quadrangular pixels, and the edge of each hexagonal pixel is stepped, But since a hexagonal pixel is very small, the edge can be approximated as a straight line.

[0045] Step 2, solve the pixel value of each hexagonal pixel of the hexagonal grid image x

[0046] For the hexagonal grid image x obtained above, let one of the hexagonal pixels be P, and it can be seen from step 1 that the hexagonal pixel P is composed of 56 quadrilat...

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 a hexagon image reconstruction method based on compressed sensing and is mainly used for solving edge blur and false colour phenomena in the existing image reconstruction method. The hexagon image reconstruction method based on compressed sensing comprises the following steps of: firstly converting a quadrilateral mesh image into a hexagon mesh image x by adopting a pixel grid piecing method; then observing and sampling the converted hexagon mesh image x by adopting a measurement matrix PHI to obtain a sampling value; and finally according to the sampling value, calculating pixel values for reconstructing an image by an orthogonal matching method, and obtaining a reconstructed image. According to the hexagon image reconstruction method based on compressed sensing, correlation between a space dimension and a spectral dimension of an image is utilized for overcoming the marginal sawtooth phenomenon in the existing image reconstruction method, and the hexagon image reconstruction method based on compressed sensing has the advantages of high information utilization ratio and low algorithm complexity and can be applied to acquisition of images in a digital camera.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a reconstruction method of a hexagonal image, which is mainly applied to image acquisition and recovery in digital cameras. Background technique [0002] With the rapid development of image processing technology and the increasing popularity of digital cameras, the acquisition and processing of high-quality color images has become a very active research field, and image reconstruction is an essential part of it. In order to save the manufacturing cost of the camera as much as possible and reduce the size, it is necessary to collect a part of the data of the image, and then use the correlation between the data to restore and reconstruct the image. [0003] There are many existing image reconstruction methods, such as linear interpolation, gradient interpolation, adaptive interpolation, etc., among which: [0004] The linear interpolation method uses the avera...

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): G06T5/00
Inventor 刘丹华李平高大化石光明
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products