Image compression system based on optical contourlet transformation

A technology of contourlet transformation and image compression, which is applied in the field of image processing, can solve problems such as constraints, slow compression speed, and difficulty in satisfying the real-time performance of image compression, and achieve the effects of promoting development, improving image compression speed, and avoiding light energy loss

Inactive Publication Date: 2012-08-15
CHONGQING UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the huge amount of calculations in the application of contourlet transform based on electrical numerical calculations restricts its further promotion. The image compression technology based on electrical contourlet transform has the obvious disadvantage of slow compression speed, and it is difficult to meet the real-time requirements of image compression. Require

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
  • Image compression system based on optical contourlet transformation
  • Image compression system based on optical contourlet transformation
  • Image compression system based on optical contourlet transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Example 1: In the optical profile wave conversion module, the HeNe laser 1 is located 22cm in front of the pinhole filter 2, and the pinhole filter 2 is located at the front focal plane of the collimating lens 3, which is installed 32cm behind the collimating lens 3 The first electrical addressing spatial light modulator 4 ， A first beam splitter 5 is installed 22 cm behind the first electrically addressable spatial light modulator 4, a first Fourier mirror 6 is installed behind the first beam splitter 5, and the first electrically addressable spatial light modulator The distance between the device 4 and the first Fourier mirror 6 is equal to the focal length of the first Fourier mirror 6, and a second electrical addressing spatial light modulator 7 is installed under the first beam splitter 5, so The sum of the distance between the first Fourier mirror 6 and the first beam splitter 5 and the distance between the first beam splitter 5 and the second electrical addressing ...

Embodiment 2

[0039] Embodiment 2 has the same structure and method as embodiment 1, except that in embodiment 2, the helium-neon laser 1 is located 24cm in front of the pinhole filter 2, and the first electrical addressing spatial light modulation is installed 34cm behind the collimator lens 3. Device 4 ， A first beam splitter 5 is installed 24 cm behind the first electrically addressable spatial light modulator 4, and a second beam splitter 8 is installed 24 cm below the second electrically addressable spatial light modulator 7.

Embodiment 3

[0040] Embodiment 3 has the same structure and method as embodiment 1, except that in embodiment 3, the helium-neon laser 1 is located 20cm in front of the pinhole filter 2, and the first electrical addressing spatial light modulation is installed 30cm behind the collimator lens 3. Device 4 ， A first beam splitter 5 is installed 20 cm behind the first electrically addressable spatial light modulator 4, and a second beam splitter 8 is installed 20 cm below the second electrically addressable spatial light modulator 7.

[0041] Apply the optical contourlet transform module to realize the contourlet transform of the input image, such as figure 2 As shown, the helium-neon laser 1 forms parallel light through the pinhole filter 2 and the collimator lens 3 to irradiate the first electrical addressing spatial light modulator 4, and the first computer 11 controls the input image to be loaded into the first telescope. On the address spatial light modulator 4, the Fourier transform of the ...

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 image compression system based on optical contourlet transformation, belonging to the technical field of image processing. The system comprises an optical contourlet transformation module, a quantification module and a statistical coding module. An image compression method comprises the following steps of: performing contourlet transformation on an input image by using the optical contourlet transformation module to obtain a numerical value result of the contourlet transformation of the input image; quantifying the numerical value result of the contourlet transformation of the input image by using the quantification module to obtain a quantification result of the numerical value result of the contourlet transformation of the input image; and coding the quantification result of the numerical value result of the contourlet transformation of the input image by using the statistical coding module to obtain a compression coding result of the input image. The image compression method disclosed by the invention can be applied to the fields of distance learning, tele-medicine, image monitoring, digital photography, traffic monitoring and the like. Compared with the conventional image compression method, the method has the advantage that: the image compression speed can be increased.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to image compression technology, in particular, an image compression system based on optical contourlet (Contourlet) transformation. Background technique [0002] The development of modern image and multimedia communication services requires a large amount of storage, recording and transmission of various images. The only way to solve this problem is to digitize the image. Image signal digitization has many advantages that analog signals do not have, such as: it is easy to use channel coding technology to improve the reliability of transmission; it is easy to use time division multiplexing to combine with other communication services; it is easy to encrypt and improve security. However, the amount of data after digitization is too large to be directly stored and transmitted, so it is imperative to implement data compression on digital images. Image coding is a compression c...

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 Patents(China)
IPC IPC(8): G06T9/20G02B27/10G02B17/02
Inventor 韩亮蒲秀娟余月华吴江洲张博为李禅飞
Owner CHONGQING 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