quality assessment of 3 d
TRANSCRIPT
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SUBMITTED BY
SUMIT G RAUT
VINOD S RAUT
MANGESH N NIMSE
PROJECT GUIDE
Dr. Mrs. K.R.JOSHI
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• What is quality assessment of images?
• What are the parameters related 2D/3D images?
• How 3D images are created(possible geometry)?
• What are available algorithms to assess image quality?
• Many more(etc…)
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• It refers to creation of algorithms that gauge the perceived
quality of the visual stimuli.
• Since the ultimate receiver of any visual stimulus is a
human observer, his/her opinion of quality is what is of
import and is referred to as percieved quality of stimulus.
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• Visual stimulus is a generic term that encompasses 2D
images,2D videos, 3D images, 3D videos, immersive
viewing environments and so on.
• Essentially, any captured stimulus that is incident upon
the eyes is referred to as a visual stimulus.
• There are two types of QA :
1)objective QA
2)subjective QA
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Objective algorithms themselves are generally
categorized as
(1) full-reference (FR),
(2) no-reference (NR) and
(3) Reduced-reference (RR) algorithms
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There are 26 parameters available for 2d imaging
They are based upon various properties like stuctural
geometry,human vision perception,distortion etc..
Eg.SSIM,HVS,SNR resp..
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3D content is expected to make the transition from
movie theaters into living rooms .
Increasing peoples demand over 3D viewing expriences
Research and development and Study the new depths
for enhanced quality of images and videos.
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To study 3D image we need to know Visual Depth
Cues:
Monoscopic Depth Cues (single 2D image)
Stereoscopic Depth Cues (two 2D images)
Motion Depth Cues (series of 2D images)
Physiological Depth Cues (body cues)
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Interposition◦ An object that occludes another is closer
Shading◦ Shape info. Shadows are included here
Size◦ Usually, the larger object is closer
Linear Perspective◦ parallel lines converge at a single point
Surface Texture Gradient◦ more detail for closer objects
Height in the visual field◦ Higher the object is (vertically), the further it is
Atmospheric effects ◦ further away objects are blurrier
Brightness◦ further away objects are dimmer
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Y
Z
X
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Left and right-eye views of an image are computed and
alternately displayed on the screen.
A shuttering system occludes the right eye when the
left-eye image is being displayed and occludes the left-
eye when the right-eye image is being displayed.
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SSIM
UQI
C4
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stereo TV
3D display
entertainment(videos, games)
Practical Applications like Image filtering &
compression and medical imaging etc.
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Experiments and evaluations for QA using SSIM and
UQI QM’s.
There implementation using ‘MATLAB’ or ‘C’.
A database of various images is required to collect on
which the code will be implemented.
Survey on its application on a real-time basis like in
medical imaging science, ‘THE SIXTH SENSE’, 3D
displays of hand-held devices and a lot more.
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[1] Anush K. Moorthy , Student Member, IEEE and Alan C. Bovik, Member, IEEE
,Research Article “Visual Quality Assessment Algorithms : What Does the Future
Hold?”
[2] Alexandre Benoit, Patrick Le Callet (EURASIPMember),Patrizio Campisi
(EURASIPMember),and Romain Cousseau,Research Article “Quality Assessment of
Stereoscopic Images”, EURASIP Journal on Image and Video Processing Volume
2008, Article ID 659024, 13 pages doi:10.1155/2008/659024
[3]Alan C. Bovik ,LIVE, “LIVE Color+3D Database,”http://live.ece.utexas.edu.
[4] N. Ponomarenko, V. Lukin, A. Zelensky, K. Egiazarian, M. Carli, F. Battisti,
"TID2008 - A Database for Evaluation of Full-Reference Visual Quality Assessment
Metrics", Advances of Modern Radioelectronics, Vol. 10, pp. 30-45, 2009.
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[5] ZHOU WANG AND ALAN C. BOVIK , “UNIVERSAL IMAGE QUALITY
INDEX” IEEE SIGNAL PROCESSING MARCH-2002.
[6] Zhou Wang, Member, IEEE, Alan C. Bovik, Fellow, IEEE Hamid R. Sheikh,
Student Member, IEEE, and Eero P. Simoncelli, Senior Member, IEEE, “Image Quality
Assessment: From Error Visibility to Structural Similarity”, IEEE TRANSACTIONS
ON IMAGE PROCESSING, VOL. 13, NO. 4, APRIL 2004
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