Mr. jiyu han Profile

jiyu han

at Soochow University

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 20 August 2013 Paper

Compressive sensing imaging with optical Fourier frequency spectrum coding and optical wavelet transform

Jiyu Han, Feng Xu, Chinhua Wang

Proceedings Volume 8913, 89130Y (2013) https://doi.org/10.1117/12.2034872

KEYWORDS: Wavelet transforms, Image compression, Compressed sensing, Fourier transforms, Image quality, Optical imaging, Data storage, Signal processing, Data acquisition, Optics manufacturing

Read Abstract +

In traditional signal sampling process, Shannon - Nyquist (Shoon-Nyquist) sampling theorem is a fundamental principle that must be followed, in that the sampling frequency must be at least twice the highest frequency of the sampled signal. However, with the increasing of data acquisition capabilities of sensing systems, acquisition of high-resolution images will inevitably lead to a flood of sampling data according to Shoon-Nyquist sampling theorem, which increases the cost of data transport and storage, and also the demand for the resolution of the detector. Donoho and Candes proposed the compressed sensing theory which is considered as a revolutionary breakthrough in that it breaks Shoon-Nyquist sampling frequency requirements. For compressible or sparse signals, signal sampling can be implemented with the sampling frequency that is less than that of Shoon-Nyquist sampling theorem, and the signal is also compressed meanwhile. This paper studied compressive coding imaging based on optical wavelet transform coupled with the frequency spectrum coding. The imaging quality can be enhanced by introducing optical wavelet transform for pre-treatment of the target image before the compression coding on the frequency spectrum plane. Simulation results show that higher quality images can be obtained with the pre-treatment of optical wavelet transform than that of purely optical Fourier transform without any increasing of the transmitted data. With the proposed method, we have conducted the numerical simulations. The results show that the proposed compression sampling method can achieve the real-time compression sampling of the images without distortion, and a compression ratio of 4:1 can be obtained.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years