Mr. Jun Xie Profile

Jun Xie

at Nanjing Xiaozhuang Univ

SPIE Involvement:

Author

Publications (3)

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 | 31 January 2020 Paper

Detail enhancement of infrared image based on BEEPS

Jun Xie, Ning Liu

Proceedings Volume 11427, 1142730 (2020) https://doi.org/10.1117/12.2552885

Read Abstract +

BEEPS(bi-exponential edge-preserving filter) is used to enhance the details of infrared image in this paper. The original infrared image has a dynamic range of 12 or 14 bits, and the human observation range is only 8 bits. Usually, the original infrared image needs to be compressed and displayed by gray-scale remapped for displaying. For example, automatic gain control and histogram equalization are the most widely used image display technologies in infrared imaging systems, but they can lead to the loss of local details, and it is difficult to control the visibility of weak details in images. Therefore, an infrared image digital detail enhancement algorithm has emerged. Current digital enhancement algorithms can effectively enhance image details and avoid over-amplification of noise, but there are still some drawbacks, such as large computational load and poor application flexibility. Therefore, we use BEEPS in our algorithm to overcome these problems. This algorithm uses a two dimensional convolution to separate the detail information from an original infrared image, and turn the original image into the detail layer and the base layer. Detail layer processing is to transform two-dimensional convolution into one-dimensional convolution, and to complete one-dimensional convolution through iterative calculation. Then, the enhanced detail layer is added back to the base frequency layer of histogram equalization. This not only improves the computational efficiency, but also improves the visual quality of the original image. The BEEPS algorithm is proved to be excellent by image and data testing.

Proceedings Article | 20 February 2018 Paper

Infrared image detail enhancement approach based on improved joint bilateral filter

Jun Xie, Ning Liu

Proceedings Volume 10697, 106972J (2018) https://doi.org/10.1117/12.2315567

KEYWORDS: Image enhancement, Image filtering, Infrared imaging, Image processing, Infrared radiation, Visualization, Nonlinear filtering, Gaussian filters, Optical filters, Thermography

Read Abstract +

In this paper, we proposed a new infrared image detail enhancement approach. This approach could not only achieve the goal of enhancing the digital detail, but also make the processed image much closer to the real situation. Inspired by the joint-bilateral filter, two adjacent images were utilized to calculate the kernel functions in order to distinguish the detail information from the raw image. We also designed a new kernel function to modify the joint-bilateral filter and to eliminate the gradient reversal artifacts caused by the non-linear filtering. The new kernel is based on an adaptive emerge coefficient to realize the detail layer determination. The detail information was modified by the adaptive emerge coefficient along with two key parameters to realize the detail enhancement. Finally, we combined the processed detail layer with the base layer and rearrange the high dynamic image into monitor-suited low dynamic range to achieve better visual effect. Numerical calculation showed this new technology has the best value compare to the previous research in detail enhancement. Figures and data flowcharts were demonstrated in the paper.

Proceedings Article | 15 October 2015 Paper

Novel interframe phase-correlated registration scene-based nonuniformity correction technology

Ning Liu, Jun Xie

Proceedings Volume 9674, 967404 (2015) https://doi.org/10.1117/12.2196781

KEYWORDS: Image registration, Nonuniformity corrections, Scene based nonuniformity corrections, Sensors, Staring arrays, Error analysis, Thermography, Image analysis, Infrared sensors, Fourier transforms

Read Abstract +

In this paper, we propose an interframe phase-correlated registration scene-based nonuniformity correction technology. This technology is based on calculating the correlated phase information between two neighboring frames to determine the precise overlapping area of them. Usually, the common registration algorithms use the scene motion information to calculate the relative displacement of neighboring frames to determine the overlapping area. This approach may be interfered by the level of nonuniformity and cause the registration error. Furthermore, bring negative consequences to the correction process. Our technology effectively conquers this worry, and makes the level of nonuniformity careless during the registration process. We also adopt a new gain coefficient convergent method which proposed by our lasted study to finish the correction. The whole technology works with great performance. Detailed analysis, images and flow charts of this technology are also provided.

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