Ms. Lixiu Jia Profile

Lixiu Jia

at Southeast Univ

SPIE Involvement:

Author

Publications (2)

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

SPIE Journal Paper | 30 June 2018

Study of image quality using event-related potentials measurement

Lixiu Jia, Yan Tu, Lili Wang, Xuefei Zhong, Ying Wang

JEI, Vol. 27, Issue 03, 033046, (June 2018) https://doi.org/10.1117/12.10.1117/1.JEI.27.3.033046

KEYWORDS: Image quality, Electrodes, Amplitude modulation, Electroencephalography, Brain, Chromium, Curium, Video, Solids, Image quality standards

Read Abstract +

The image quality was studied using event-related potentials (ERPs), behavioral data, and psychological measurement. In our experiment, different quality images were obtained by changing σ values in the Gaussian kernel function. The results showed that measurable ERPs, behavioral data, and psychological parameters varied with the change in the image quality. The more impaired image elicited the higher and earlier ERPs components over all scalp areas. Meanwhile, the response time reduced and detection rate increased with an increase in the blurriness level σ. The P300 and N200 components of different scalp areas elicited by different image qualities were analyzed. The N200 amplitude and P300 latency over the anterior scalp region were stronger and shorter than the ones over central and posterior scalp regions. The P300 and N200 amplitude over the middle scalp location were stronger than the ones over left and right scalp locations. The influence of image content is not significant. The image quality could be assessed by P300 and N200 amplitude over the nine scalp areas, and the anterior and middle scalp areas have higher PLCC, SROCC, and KROCC values than other scalp areas. The influence of P300 amplitude on the estimated scores is smaller than that of N200 for most scalp areas. The result had a good correlation with subjective rating scores, which proved the feasibility of utilizing ERPs to assess image quality.

Proceedings Article | 8 February 2015 Paper

A no-reference video quality assessment metric based on ROI

Lixiu Jia, Xuefei Zhong, Yan Tu, Wenjuan Niu

Proceedings Volume 9396, 93960Z (2015) https://doi.org/10.1117/12.2083892

KEYWORDS: Video, Eye models, Video compression, Eye, Video coding, Image quality, Distortion, Discrete wavelet transforms, Molybdenum, Video processing

Read Abstract +

A no reference video quality assessment metric based on the region of interest (ROI) was proposed in this paper. In the metric, objective video quality was evaluated by integrating the quality of two compressed artifacts, i.e. blurring distortion and blocking distortion. The Gaussian kernel function was used to extract the human density maps of the H.264 coding videos from the subjective eye tracking data. An objective bottom-up ROI extraction model based on magnitude discrepancy of discrete wavelet transform between two consecutive frames, center weighted color opponent model, luminance contrast model and frequency saliency model based on spectral residual was built. Then only the objective saliency maps were used to compute the objective blurring and blocking quality. The results indicate that the objective ROI extraction metric has a higher the area under the curve (AUC) value. Comparing with the conventional video quality assessment metrics which measured all the video quality frames, the metric proposed in this paper not only decreased the computation complexity, but improved the correlation between subjective mean opinion score (MOS) and objective scores.

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