Ms. Congmin Chen Profile

Congmin Chen

at Xi'an Jiaotong Univ

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 | 7 March 2014 Paper

LoG acts as a good feature in the task of image quality assessment

Xuanqin Mou, Wufeng Xue, Congmin Chen, Lei Zhang

Proceedings Volume 9023, 902313 (2014) https://doi.org/10.1117/12.2038982

KEYWORDS: Image filtering, Electronic filtering, Image quality, Image processing, Performance modeling, Databases, Distortion, Visual process modeling, Principal component analysis, Data modeling

Read Abstract +

In the previous work, the LoG (Laplacian of Gaussian) signal that is the earliest stage output of human visual neural system was suggested to be useful in image quality assessment (IQA) model design. This work considered that LoG signal carried crucial structural information of IQA in the position of its zero-crossing and proposed a Non-shift Edge (NSE) based IQA model. In this study, we focus on another aspect of the properties of the LoG signal, i.e., LoG whitens the power spectrum of natural images. Here our interest is that: when exposed to unnatural images, specifically distorted images, how does the HVS whitening this type of signals? In this paper, we first investigate the whitening filter for natural image and distorted image respectively, and then suggest that the LoG is also a whitening filter for distorted images to some extent. Based on this fact, we deploy the LOG signal in the task of IQA model design by applying two very simple distance metrics, i.e., the MSE (mean square error) and the correlation. The proposed models are analyzed according to the evaluation performance on three subjective databases. The experimental results validate the usability of the LoG signal in IQA model design and that the proposed models stay in the state-of-the-art IQA models.

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