Ñæàòèå âèäåî - Interlacing
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| Àâòîðû | Íàçâàíèå ñòàòüè | Îïèñàíèå | Ðåéòèíã |
| 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 êáàéò |
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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 êáàéò |
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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 êáàéò |
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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 êáàéò |
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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 êáàéò |
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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 êáàéò |
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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 êáàéò |
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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 êáàéò |
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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 êáàéò |
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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 êáàéò |
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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 êáàéò |
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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 êáàéò |
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| J. O. Drewery | Interlace and MPEG-can motion compensation help? |
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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 êáàéò |
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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 êáàéò |
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