Английские материалы
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| Авторы |
Название статьи |
Описание |
Рейтинг |
| Renxiang Li, Bing Zeng, and Ming L. Liou |
Reliable Motion Detection/Compensation for Interlaced Sequences and Its Applications to Deinterlacing |
Abstract—In this letter, we present a new method for the motion
detection/compensation between opposite parity fields in interlaced
video sequences. We introduce a phase-correction filter,
which is applied to one type (even or odd) of fields before motion
detection/compensation. By means of this phase-correction filter,
the motion-compensated PSNR has been improved by more than
2 dB, on average. We also present a new deinterlacing algorithm
based on the newly developed motion detection/compensation. This
algorithm requires storing one field only, and the phase-corrected
field is used for both motion detection/compensation and intrafield
deinterlacing, thus making the proposed algorithm computationally
very efficient. Excellent deinterlacing results have been obtained.
RAR 176 кбайт
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| Krit Panusopone, Xuemin Chen, Robert Eifrig, and Ajay Luthra |
Coding Tools in MPEG-4 for Interlaced Video |
Abstract—Recent developments in digital video compression,
transmission, and displays have made object-based video viable
for many applications, e.g., coding chroma-keyed video for digital
TV and manipulating video objects on interactive multimedia terminals,
etc. To facilitate these applications, there is a demand on
international standards for coding methods and transmission formats
for object-based natural and synthetic video. For the past few
years, the Moving Picture Experts Group (MPEG) of the International
Standards Organization (ISO), which successfully created
the MPEG-1/2 standards, has beenworking to establish a new standard,
called MPEG-4. MPEG-4 will provide standardized technological
elements enabling the integration of the production, distribution,
and content-access paradigms in four fields: wireless communication,
digital TV, interactive graphics, and the World Wide
Web. To meet the needs of interlaced video applications, MPEG-4
video adopted interlaced coding tools similar to those in MPEG-2
and features schemes to code multiple video objects. This paper
provides an overview of MPEG-4 interlaced coding tools, and focuses
in detail on the new shape and texture-coding algorithms for
interlaced video.
RAR 322 кбайт
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| Yeong-Kang Lai and Liang-Gee Chen |
A Data-Interlacing Architecture with Two-Dimensional Data-Reuse for Full-Search Block-Matching Algorithm |
Abstract— This paper describes a data-interlacing architecture
with two-dimensional (2-D) data-reuse for full-search blockmatching
algorithm. Based on a one-dimensional processing element
(PE) array and two data-interlacing shift-register arrays,
the proposed architecture can efficiently reuse data to decrease
external memory accesses and save the pin counts. It also achieves
100% hardware utilization and a high throughput rate. In addition,
the same chips can be cascaded for different block sizes,
search ranges, and pixel rates.
RAR 118 кбайт
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| Andrew J. Patti, M. Ibrahim Sezan, and A. Murat Tekalp |
Robust Methods for High-Quality Stills from Interlaced Video in the Presence of Dominant Motion |
Abstract—We present robust algorithms which combine global
motion compensation and motion adaption for deinterlacing in
the presence of both dominant motion, such as camera zoom, pan,
or jitter, and local motion, such as object motion. The dominant
motion is modeled by a global affine warping and estimated by
a gradient-based estimation method. Two alternative algorithms
are proposed for compensation of the dominant motion: a bilinear
interpolation based on the affine model, and a projections
onto convex sets (POCS) based method that takes into account
blurring in the image formation. It is important to note that
the latter must be used if the blurring is severe enough to act
as an anti-alias filter, which imposes an irreversible limit on
the resolution improvement ability of any motion-compensated
filter. Global motion-compensated images are then input to a
motion-adaptive filter to detect and correct for those pixels
where there exists local motion. A dynamic thresholding for
motion detection is presented, with weighted directional-filtering
for regions where motion is detected, to obtain the best results.
Experimental results with application to obtaining high quality
stills from video camcorders demonstrate the effectiveness of the
proposed methods.
RAR 1039 кбайт
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| E.B. Bellers and G. de Haan |
Advanced de-interlacing techniques |
This paper presents an overview of deinterlacing
techniques and describes some advanced motion
compensated de-interlacing techniques in more detail. These
motion compensated methods are analyzed and mutually
compared. It is concluded that the success of motion compensated
de-interlacing depends critically on a protection mechanism.
A good example is presented.
RAR 363 кбайт
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| E.B. Bellers and G. de Haan |
Advanced motion estimation and motion compensated de-interlacing |
This paper describes a new high quality de-interlacing algorithm
applying motion estimation and compensation techniques. First, a comparison
between two recently introduced de-interlacing concepts will be presented. One
method is based on a generalized sampling theorem and the other uses timerecursion.
The new algorithm aims at combining the benefits of both.
RAR 125 кбайт
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| E.B. Bellers and G. de Haan |
De-interlacing of video data |
De-interlacing is a basic requirement for video scan-
ning format conversions. Since perfection under all
circumstances is impossible to achieve, many di erent
algorithms to realize a good quality have been pro-
posed. The products currently available on the con-
sumer electronics market, either use linear Vertical-
Temporal (VT) ltering [1, 2], MEDian ltering
(MED) [6], or in the most advanced product, Motion
Compensated MEDian ltering (mcMED) [8].
RAR 96 кбайт
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| E.B. Bellers and G. de Haan |
De-interlacing of video data |
A new de-interlacing algorithm is proposed,
suitable for high-quality flicker-free display
of television images, for matrix type of displays,
and as a basis for scan-rate conversions. The algo-
rithm applies motion estimation and compensation
techniques to achieve a high performance for mov-
ing and stationary image parts. This paper pro-
vides details of the new algorithm and an evaluation
showing the relative performance of the proposal
and a set of recently proposed and/or commercially
available methods.
RAR 323 кбайт
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| E.B. Bellers and G. de Haan |
Advanced motion estimation and motion compensated de-interlacing |
This paper describes a new high quality de-interlacing algorithm
applying motion estimation and compensation techniques. First, a comparison
between two recently introduced de-interlacing concepts will be presented. One
method is based on a generalized sampling theorem and the other uses timerecursion.
The new algorithm aims at combining the benefits of both.
RAR 125 кбайт
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| E.B. Bellers and G. de Haan |
Advanced motion estimation and motion compensated de-interlacing |
The question `to interlace or not to in-
terlace' divides the TV and the PC communities.
A proper answer requires a common understand-
ing of what is possible nowadays in de{interlacing
video signals. This paper outlines the most relevant
methods, and provides a relative comparison.
RAR 899 кбайт
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| E.B. Bellers and G. de Haan |
Majority{Selection De{interlacing An advanced motion-compensated spatio-temporal interpolation technique for interlaced video |
De{interlacing of interlaced video doubles the number of
lines per picture. As the video signal is sub{Nyquist sam-
pled in the vertical and temporal dimension, standard up{
conversion or interpolation lters cannot be applied. This
may explain the large number of de{interlacing algorithms
that have been proposed in the literature, ranging from
simple intra{ eld de{interlacing methods to the advanced
motion{compensated (MC) methods. MC de{interlacing
methods are generally far superior over the non-MC ones.
However, it seems di.cult to combine robustness of a
MC de{interlacing algorithm for incorrect motion vectors
with the ability to preserve high spatial frequencies. The
Majority{Selection de{interlacer, as proposed in this paper,
provides a means to combine several strengths of individual
de{interlacing algorithms into a single output signal.
RAR 451 кбайт
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| Gerard de Haan and Rogier Lodder |
DE-INTERLACING OF VIDEO DATA USING MOTION VECTORS AND EDGE INFORMATION |
EDDI (Edge Dependent De-Interlacing) is a new method
for effectively removing jagged edges from interlaced
video. It detects and quantifies edges for optimal image
interpolation, with applications in high-end as well as in
economy de-interlacing.
RAR 130 кбайт
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| J. O. Drewery |
Interlace and MPEG-can motion compensation help? |
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RAR 161 кбайт
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| Changming Sun |
De-interlacing of Video Images Using a Shortest Path Technique |
Abstract|This paper presents a fast algorithm for
de-interlacing of video images using a shortest path
technique. The algorithm applies dynamic programming
techniques to nd a shortest path in
a cost matrix. The motion information obtained
from this shortest path is used to re-align the elds
of a video image. By using the shortest path via
dynamic programming, the motion information estimated
is more reliable than simply performing
a search in a local neighbourhood. A variety of
real images have been tested, and good results have
been obtained.
RAR 139 кбайт
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| Jed Deame |
Motion Compensated De-Interlacing: The Key to the Digital Video Transition |
As the video industry transitions from analog to digital, more and more video
processing equipment will also need to transition from analog to digital. The current analog
television standards, NTSC, PAL, etc., are based on interlaced formats. As these
standards transition to digital, the demand for progressive material will increase, causing a
directly proportional increase in the demand for video processing products with high
quality de-interlacing.
There are many ways to perform the de-interlace process, with varying levels of quality
and corresponding compute requirements. This paper will emphasize the importance of
proper de-interlacing, examine some of the currently used techniques for de-interlacing
video, delineate a new de-interlacing technique, and discuss applications where this new
de-interlacing technique can improve the end-to-end image quality of any DTV system.
RAR 1463 кбайт
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