An Image Quality Assessment Technique
Based on Visual Regions of Interest Weighted Structural
Similarity
D.Venkata Rao1, N.Sudhakar 2,
B.Ravindra Babu3, L.Pratap Reddy 4
1Dept of ECE, Bapatla Engineering College,
Bapatla, India.
2Dept of CSE, Bapatla Engineering College,
Bapatla, India.
3Dept of CSE,RVR&JC College of
Engineering,Guntur,India.
4Dept of ECE,JNTU College of Engineering
,Hyderabad,India.
Abstract:
Measurement of visual quality is of fundamental importance
to numerous image and video processing applications. The
goal of quality assessment research is to design algorithms
that can automatically assess the quality of images. This
paper introduces an image quality index Visual region of
interest Weighted Structural Similarity (VroiWSSI). The
index integrates the notion of Visual regions of interest
with the measurement of structural similarity to effectively
match with Human Visual System (HVS). The method evaluates
the structural similarity between the original image and the
distorted image to arrive at structural similarity index in
a local region. The indices are then weighted based on the
Visual regions of interest characterized by entropy in the
local region that emphasizes the texture variance. VroiWSSI
of the image is calculated by averaging these weighted
indices. Test results show that VroiWSSI correlates well
with subjective scores.
Keywords:
Visual region of interest Weighted Structural
Similarity Index (VroiWSSI), Visual regions of interest,
Human Visual System (HVS),
Structural similarity, Entropy, Texture variance

Biography
 |
Prof
D.Venkata Rao, obtained his undergraduate degree in Electronics and
Communications Engineering from Institution of
Engineers, India. He did his Masters in Digital
Systems and Computer Electronics from Jawaharlal
Nehru Technological University, Hyderabad. He is
currently working in the Department of Electronics &
Communications Engineering at Bapatla Engineering
College, Bapatla, India. He has 12 years of teaching
experience. He has many publications in Image
Processing to his credit. His research areas of
interest include Signal and Image Processing, and
Multimedia Systems.
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 |
Prof N.Sudhakar,
did his under graduation in Mechanical
Engineering from National Institute of Technology,
Nagpur. He did his Masters in Computer Science from
NIT, Warangal. He is currently working in the
Department of Computer Science & Engineering at
Bapatla Engineering College, Bapatla, India. He has
19 years of teaching experience. His research areas
of interest include Multimedia Systems, Algorithms
and automata theory.
|
 |
Dr B. Raveendra Babu,
obtained his Masters in Computer Science and
Engineering from Anna University, Chennai. He
received his Ph.D. in Applied Mathematics at S.V
University, Tirupati. He is currently heading the
Department of Computer Science & Engineering, RVR &
JC College of Engineering, Guntur. He has 23 years
of teaching experience. He has several publications
to his credit. His research areas of interest
include VLDB, Image Processing, Pattern analysis and
Wavelets.
|
 |
Dr. L. Pratap Reddy,
received the B.E. degree from Andhra
University (INDIA) in Electronics and Communication
Engineering in 1985, the M.Tech. degree in
Electronic Instrumentation from Regional Engineering
College (WARANGAL) in 1988 and the Ph.D. degree from
Jawaharlal Nehru Technological University
(HYDERABAD) in 2001. From 1988 to 1990 he was
lecturer in ECE Department of Bangalore Institute of
Technology (BANGALORE), from 1991 to 2005 he was
faculty member in JNTU College of Engineering (KAKINADA).
Since 2006 he is with Department of Electronics and
Communication Engineering at JNTU, Hyderabad. His
current activity in research and development
includes, apart from telecommunication engineering
subjects, Image Processing, Pattern Recognition and
Linguistic processing of Telugu language. He
published 25 technical papers, articles and reports.
He is active member in professional bodies like ISTE,
IE, IETE, and CSI.
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BibTex:
@ARTICLE{P1150628001,
AUTHOR = {D.Venkata Rao and N.Sudhakar
and B.Ravindra Babu and L.Pratap Reddy },
TITLE = {An Image Quality Assessment
Technique Based on Visual Regions of Interest Weighted
Structural Similarity},
JOURNAL ={ICGST International Journal on Graphics, Vision and Image
Processing},
YEAR = {2006},
VOLUME = {6},
ISSUE ={2},
PAGES={69--75}
}
( Full Paper
908KB)
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