To compare the performances of different enhancement algorithms, we constructed this PKU-EAQA (Peking University Enhancement Algorithm Quality Assessment) dataset. This dataset contains 300 images in bad visibility (in haze, low light, etc.), 1500 enhanced images generated by different enhancement algorithms and their subjective quality assessment results.
- The images and the subjective quality assessment results for download are part of PKU-EAQA (Peking University Enhancement Algorithm Quality Assessment) dataset.
- The images and the subjective quality assessment results can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed.
- Copyright © National Engineering Laboratory for Video Technology (NELVT) and Institute of Digital Media, Peking University (PKU-IDM). All rights reserved.
All publications using PKU-EAQA should cite the papers below:
- Zhengying Chen, Tingting Jiang, Yonghong Tian, Quality Assessment for Comparing Image Enhancement Algorithms. To appear in IEEE Conference on Computer Vision and Pattern Recognition, 2014.
You can download the agreement(pdf) by clicking the DOWNLOAD link.
After filling it, please send the electrical version to our Email: email@example.com (Subject: PKU-EAQA Agreement) and mail/fax the paper version to our lab: Room 2604, Science Building No. 2, Peking University, No.5 Yiheyuan Road, Haidian District, Beijing, P.R.China (fax: +86-10-62751638).
After confirming your information, we will send the download link and password to you via Email. You need to follow the agreement.