Multispectral image compression system and method based on joint bit rate allocation and control

A multi-spectral image and code rate allocation technology, applied in the field of multi-spectral image lossy compression system, can solve problems such as data overflow and unstable reconstruction quality, and achieve high compression performance, optimal overall performance, and stable quality

Active Publication Date: 2013-09-11
XIDIAN UNIV
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to propose a multi-spectral image compression system and method based on joint code rate distribution and control. One is to solve the problem of code rate distribution between each component after KL transformation, avoiding the prior art code rate distribution and code rate The separation of control leads to the disadvantage of unstable reconstruction quality; the second is to solve the code rate control problem of JPEG-LS encoding of the KL transformed components, and avoid the actual code rate of the existing code rate control technology from fluctuating around the target code rate. Disadvantages that lead to data overflow

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
  • Multispectral image compression system and method based on joint bit rate allocation and control
  • Multispectral image compression system and method based on joint bit rate allocation and control
  • Multispectral image compression system and method based on joint bit rate allocation and control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] refer to figure 1 , the multispectral image compression system based on joint code rate allocation and control in the present invention includes a KL transformation unit and a code rate controllable JPEG-LS coding unit.

[0049] The KL transformation unit, for the input multispectral image {B 1 ,B 2 ,...,B k ,...,B N} Carry out KL transformation to get the transformed component {Y 1 ,Y 2 ,...,Y k ,...,Y N}, k=1,2,...,N, output to the code rate controllable JPEG-LS coding unit, wherein, the multispectral image spectral segment number of input is N, and width is W, and height is H, and bit precision is I p ;

[0050] The rate-controllable JPEG-LS encoding unit includes a data reorganization module, a quantization step adjustment module and a JPEG-LS encoding module. The data reorganization module transforms the component {Y 1 ,Y 2 ,...,Y k ,...,Y N} to reorganize to get the reorganized component Y CIL ={Y 1,CIL ,...,Y i,CIL ,...,Y H,CIL} output to the qua...

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 multispectral image compression system and method based on joint bit rate allocation and control, and mainly aims to solve the problems of instability of reconstruction quality and inaccuracy of JPEG-LS (joint photographic experts group-lossless standard) bit rate control caused by uneven bit rate allocation when multispectral images are allocated in the prior art. The method includes the implementing steps: performing KL (Karhunen-Love) conversion on a multispectral image to obtain converted components; performing data reconstitution on the converted components to obtain reconstituted components; and performing quantization step-size adjustment and quantization adjustment for the first time on all row data of the reconstituted components, performing iterative adjustment for the second time on quantified step size of last several rows, and performing quantization coding according to the quantified step size to obtain bit streams. By component data reconstitution and unified quantization step-size adjustment, bit rate allocation and bit rate control are combined and achieved, bit rate control precision is lower than target bit rate, reconstruction quality of spectral segments is uniform and stable, overall performance is optimal, and the method is suitable for various onboard multispectral image processing and transmission.

Description

technical field [0001] The invention relates to the technical field of image processing, and further relates to a multispectral image lossy compression system and method, which can be used for multispectral data processing and transmission on various stars. Background technique [0002] Multispectral imagery is a three-dimensional data cube that contains both spatial and spectral information and is obtained by imaging the same ground object on dozens of spectral bands with a spectral imager. It is widely used in resource exploration, target recognition, and environmental protection. However, the amount of multispectral image data is very large, and effective compression technology is required for image storage and transmission. [0003] Multi-spectral images have a strong inter-spectral correlation. Effective use of this correlation can greatly improve the compression performance. Therefore, the method of inter-spectral transformation + two-dimensional coding is usually used...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/26H04N7/30H04N7/64H04N19/89
Inventor 宋娟王柯俨李云松沈沛意张亮李娇娇韩冉王丽萍
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap