Method and device for rebuilding image

A technology for reconstructing images and residual images, applied in the field of reconstructing images, can solve the problems of slow image reconstruction, a large number of storage devices, and a long time required to achieve the effect of saving storage devices, reducing time, and improving speed.

Inactive Publication Date: 2010-10-20
TELEGENE TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Since the predicted image data is output by row and the residual image data is output by column in the prior art, it is necessary to wait until all the rows of the predicted image data and all the columns of the residual image data are output before the predicted image data and the residual image data can be output. Adding to obtain the reconstructed image takes a long time, an

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
  • Method and device for rebuilding image
  • Method and device for rebuilding image
  • Method and device for rebuilding image

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0024] Example 1

[0025] See figure 1 An embodiment of the present invention provides a method for reconstructing an image, the method including:

[0026] 101: Obtain predicted image data, and output predicted image data in a preset direction;

[0027] 102: Obtain residual image data, and output the residual image data in a preset direction;

[0028] 103: Each time a preset direction predictive image data and a preset direction residual image data are output, a preset direction predictive image data and a preset direction residual image data are added, and output preset by preset direction Add the directions to get the reconstructed image.

[0029] It should be noted that step 101 and step 102 are executed in parallel.

[0030] Specifically, when the preset direction is a column, the method is specifically:

[0031] Obtain predicted image data, and output predicted image data in columns;

[0032] Obtain residual image data, and output residual image data in columns;

[0033] Each time a c...

Example Embodiment

[0055] Example 2

[0056] See figure 2 An embodiment of the present invention provides a method for reconstructing an image, the method including:

[0057] 201: Read the reference image data A in the decoded signal by column, perform image prediction on each column of reference image data A according to the prediction information in the decoded signal to obtain predicted image data B, and output the predicted image data B by column.

[0058] Assuming that the reference image data A has a size of N×N, taking N=4 as an example, the reference image data A can be expressed as:

[0059] A = a 00 a 01 a 02 a 03 a 10 a 11 a 12 a 13 a 20 a twenty one a twenty two a twenty three a 30 a 31 a 32 a 33

[0060] Where a ij (i∈[0,3], j∈[0,3]) represent the elements of reference image data A, read reference image data A in columns, that is, read a in seq...

Example Embodiment

[0080] Example 3

[0081] See image 3 An embodiment of the present invention provides a method for reconstructing an image, the method including:

[0082] 301: Read the reference image data A in the decoded signal by line, perform image prediction on each line of the reference image data A according to the prediction information in the decoded signal to obtain predicted image data B, and output the predicted image data B by line.

[0083] Assuming that the reference image data A has a size of N×N, taking N=4 as an example, the reference image data A can be expressed as:

[0084] A = a 00 a 01 a 02 a 03 a 10 a 11 a 12 a 13 a 20 a twenty one a twenty two a twenty three a 30 a 31 a 32 a 33

[0085] Read reference image data A in rows, that is, read a in sequence 00 , A 01 , A 02 , A 03 , A 10 , A 11 , A 12 , A 13 , A 20 , A 21 , A 22 , A 23 , ...

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 method and a device for rebuilding an image, and belongs to the filed of digital image processing. The method comprises the following steps of: acquiring predicted image data and outputting the predicted image data according to the preset direction; acquiring residual image data and outputting the residual image data according to the preset direction; and adding the predicted image data in each preset direction to the residual image data in each preset direction while outputting the predicted image data in each preset direction and the residual image data in each preset direction to acquire a rebuilt image. The device comprises a predicted image data output module, a residual image data output module and a rebuilt image acquisition module. The predicted image data and the residual image data are both output according to the preset direction, and the predicted image data in each preset direction and the residual image data in each preset direction are added while the predicted image data in each preset direction and the residual image data in each preset direction are output, so that the parallelism degree of the rebuilt image is improved, the image rebuilding time is reduced and the image rebuilding speed is improved.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to a method and device for reconstructing an image. Background technique [0002] With the development of digital image processing technology, image reconstruction technology has been widely used. Image reconstruction means that in the process of image decoding, the predicted image data and residual image data are obtained according to the decoded signal, and then the predicted image data and residual image data are The image data are summed to obtain the reconstructed image. [0003] The process of image reconstruction in the prior art is to obtain predicted image data according to the reference image data and prediction information in the decoded signal, and output the predicted image data by row; at the same time, perform two-dimensional IDCT (Inverse Disperse Cosine Transform , inverse discrete cosine transform) transform to obtain the residual image data, and output the...

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): H04N7/26H04N19/44
Inventor 张骥周斌
Owner TELEGENE TECH
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