TY  - JOUR
T1  - Informal Complexity Analysis of Image Quality Based on Human Visual System
AU - Subrahmanyam, Ch. AU - Rao, D. Venkata AU - Rani, N. Usha 
JO  - Asian Journal of Information Technology
VL  - 13
IS  - 12
SP  - 777
EP  - 781
PY  - 2014
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2014.777.781
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2014.777.781
KW  - No reference
KW  -NRDPF-IQA
KW  -JPEG2000
KW  -live
KW  -CSIQ
KW  -TID
AB  - In this study, we propose NRDPF-IQA (No Reference Distortion Patch Features Image Quality Assessment) Model, aims to use to measure the image quality assessment for JPEG2000. The proposed method takes advantage over the other existing image quality assessment metrics of the contrast changes in the image quality. The proposed quality metric was tested by using LIVE image database and CSIQ image database. The experimental results show that the new index performance compared with the other NR-IQA Models that require training on LIVE databases, CSIQ database and TID database.
ER  -