Multiresolution-Based Texture Adaptive Algorithm for High-Quality Deinterlacing

IEEE Trans. Circuits Syst. Video Technol.

Chen

Mattavelli

et al. 2009

Abstract-Concurrently exploring both algorithmic and architectural optimizations is a new design paradigm. This survey paper addresses the latest research and future perspectives on the simultaneous development of video coding, processing, and computing algorithms with emerging platforms that have multiple cores and reconfigurable architecture. As the algorithms in forthcoming visual systems become increasingly complex, many applications must have different profiles with different levels of performance. Hence, with expectations that the visual experience in the future will become continuously better, it is critical that advanced platforms provide higher performance, better flexibility, and lower power consumption. To achieve these goals, algorithm and architecture co-design is significant for characterizing the algorithmic complexity used to optimize targeted architecture. This paper shows that seamless weaving of the development of previously autonomous visual computing algorithms and multicore or reconfigurable architectures will unavoidably become the leading trend in the future of video technology.

Section: B Video Processingmentioning

confidence: 99%

Algorithm/Architecture Co-Exploration of Visual Computing on Emergent Platforms: Overview and Future Prospects

IEEE Trans. Circuits Syst. Video Technol.

Chen

Mattavelli

et al. 2009

“…Many techniques have been proposed for deinterlacing [1]- [7] in the past few decades. These techniques can be roughly categorized as either motion compensated (MC) or non motion compensated methods (Non-MC) [8].…”

mentioning

confidence: 99%

Motion Adaptive Deinterlacing via Edge Pattern Recognition

2007 IEEE International Symposium on Circuits and Systems (ISCAS)

Wang

et al. 2007

In this paper, a novel edge pattern recognition (EPR) deinterlacing algorithm with successive 4-field enhanced motion detection is introduced. The EPR algorithm surpasses the performance of ELA-based and other conventional methods especially at textural scenes. In addition, the current 4-field enhanced motion detection scheme overcomes conventional motion missing artifacts by gaining good motion detection accuracies and suppression of "motion missing" detection errors efficiently. Furthermore, with the incorporation of our new successive 4-field enhanced motion detection, the interpolation technique of EPR algorithm is capable of flexible adaptation in achieving better performance on textural scenes in generic video sequences.

Reconfigurable Architecture for Deinterlacer based on Algorithm/Architecture Co-Design

Wang

Chen

et al. 2009

J Sign Process Syst

This paper presents the algorithm and reconfigurable architecture of motion-adaptive deinterlacer for highdefinition video. The content-adaptability of algorithm and the reconfiguration of architecture are concurrently explored by algorithm/architecture co-design methodology and Caltrop actor language (CAL) modeling of the dataflow. In the design methodology we employed, the CAL dataflow model is also very helpful in the verification of our deinerlacer. The proposed algorithm and architecture design of deinterlacer is more cost-efficient than two recently proposed works in terms of algorithmic performance and silicon area of VLSI implementation. Moreover, data path reconfiguration efficiently enables various interpolation schemes using less computational resource of hardware than non-reconfigurable architecture.