System on silicon-IC for motion compensated scan rate conversion picture-in-picture processing, split screen applications and display processing

Schu, M.; Scheffler, G.; Tuschen, C.; Stolze, A.

doi:10.1109/30.793620

Cited by 27 publications

(15 citation statements)

References 4 publications

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“…In traditional ME, as presented in [1,2,3], motion is estimated at the requested temporal instance (n -a) in between two neighboring pictures. As a result, no spatial misalignment occurs and motion can be properly estimated for most image parts.…”

Section: Motion Estimationmentioning

confidence: 99%

Solving occlusion in Frame-Rate up-Conversion

Bellers¹,

Gurp

Janssen³

et al. 2007

2007 Digest of Technical Papers International Conference on Consumer Electronics

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Tracking motion of moving objects in a video scene by the human eye results in a stationary picture on the retina. However, if the motion is irregular, tracking can be difficult, resulting in the perception of motion blur or motion judder. This is a typical result due to the broadcast of film material. Film is captured at 24 Hz, and by picture repetition displayed at either 50 or 60 Hz. Motion judder can be eliminated at the receiver end by temporally correcting for the motion. Although this significantly improves the viewing experience, it can cause picture degradation at the boundaries of moving objects due to improper interpolation in and around occlusion areas. In this paper, we present a solution to the occlusion problem.

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Section: Motion Estimationmentioning

confidence: 99%

Solving occlusion in Frame-Rate up-Conversion

Bellers¹,

Gurp

Janssen³

et al. 2007

2007 Digest of Technical Papers International Conference on Consumer Electronics

View full text Add to dashboard Cite

show abstract

“…Style of scanning within a single scan affects the quality of the result image as well as memory bandwidth requirements. Effects of multiple scans, alternation of scanning direction and two styles of scanning (meandering style [10], and classical style, from top to bottom and left to right) were experimentally analyzed.…”

Section: Number Of Motion Estimation Scans Scanning Direction Scannmentioning

confidence: 99%

“…The proposed algorithm is evaluated using the two approaches for deriving the vector (anti-)median candidates-using the vector amplitude and the manhattan vector length as a norm. The optimal 3DRS and the proposed algorithm performed a single motion estimation scan per input image pair using the meandering scanning style [10]. Algorithms were compared using six sequences shown in Fig.…”

Section: Quality Comparisonmentioning

confidence: 99%

An Efficient Picture-Rate Up-Converter

Beric

Haan

Sethuraman

et al. 2005

J VLSI Sign Process Syst Sign Image Video Technol

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The importance of low-power design is not just critical to portable devices but also to line powered equipment like TV products. Power dissipation strongly influences the price of the chip, since the packaging and cooling costs increase dramatically with increasing power dissipation. In this work, we analyze and optimize algorithm and architecture of a picture rate up-conversion module. We perform algorithm/architecture co-design in which we meet high quality specification while keeping the power dissipation low. In the algorithm front, we focus on the motion estimation which is computationally the most intensive part of the picture-rate up-conversion application. We analyze the following parameters of the motion estimation algorithm: The number of motion estimation iterations per input image pair and the image scanning order of individual iterations. Further, we apply novel pre-processing technique to address the issue of reducing the already extremely low number of motion vector candidate evaluations. However, optimal selection of motion vector candidates is a necessity to achieve high picture quality. In the architectural front, to cope with the large memory bandwidth requirements of the application, we use multi-level caching to exploit locality of reference. Further, we apply data compression to the image data stored in memory, to reduce the memory capacity and bandwidth requirements. Both the above techniques significantly reduce the overall power dissipation.

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“…Style of scanning within a single pass affects the quality of the result image as well as memory bandwidth requirements. Effects of multiple scans, alternation of scanning direction and two styles of scanning (meandering style [4], and classical style, from top to bottom and left to right) were experimentally analysed. The experiment was conducted on five progressive sequences (Bicycle, Subtext, BBCdrumtext, Tennis and Shaker, shown in fig.…”

Section: Algorithmic Explorationmentioning

confidence: 99%

Towards an efficient high quality picture-rate up-converter

Beric

Haan

Meerbergen

et al.

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)

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Motion estimation algorithms play a key role in picture-rate up-conversion. To realise high quality interpolated images, while keeping the processing requirements low, we analyse the following parameters of the motion estimation algorithm: The number of motion estimation iterations per input image pair and the image scanning order of individual iterations. Furthermore, we tackle the issue of the optimal selection of the motion vector candidates. The selected motion estimation algorithm is the three-dimensional recursive search (3DRS) block matcher that offers a smooth and accurate motion vector field at relatively low computational cost.

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System on silicon-IC for motion compensated scan rate conversion picture-in-picture processing, split screen applications and display processing

Cited by 27 publications

References 4 publications

Solving occlusion in Frame-Rate up-Conversion

Solving occlusion in Frame-Rate up-Conversion

An Efficient Picture-Rate Up-Converter

Towards an efficient high quality picture-rate up-converter

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