Spatial–temporal content-adaptive deinterlacing algorithm

IEEE Trans. Circuits Syst. Video Technol.

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: Algorithm/architecture Co-exploration Of Visualmentioning

confidence: 99%

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

IEEE Trans. Circuits Syst. Video Technol.

Mattavelli

et al. 2009

“…2 is involved for the interpolation of other spatio-temporal patterns. We enhanced the SAVTF in [24] with four adaptive filters as follows.…”

Section: Algorithmic Design Of Deinterlacingmentioning

confidence: 99%

“…where F o is the interpolated pixel, F type-I~Ftype-IV are the output of type-I filter to type-IV filter, R vertical and R temporal represent the analysis filters in vertical and temporal directions defined in [24], α is a factor, which is four in our experiment. When nearly stationary or nearly smooth regions present, field average, i.e., type-I filter, or line-average, i.e., type-IV filter, should apply.…”

Section: Algorithmic Design Of Deinterlacingmentioning

confidence: 99%

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

Wang

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.

Algorithm and architecture design for wide range ELA deinterlacer

Lai

2009 IEEE International Symposium on Circuits and Systems

et al. 2009

In this paper we introduce a novel algorithm that can detect local features and choose a proper interpolation method for de-interlacing. An edge is a high frequency pattern with certain direction which is a noticeable feature in video sequences. We proposed a wide range ELA (WRELA) algorithm capable of accurately detecting edge directions. The edge direction can be acquired from an optimized procedure. Finally, we can interpolate the missing pixel in the edge with the direction which has the highest correspondence. We also implement the architecture of the proposed de-interlacing algorithm by UMC 0.18 μm technology. This design is capable of real-time deinterlacing for high definition 720i sequences with the clock speed running at 54 MHz, and the gate count is acceptable. Experimental results show that our proposed de-interlacer provides not only high objective performance in terms of PSNR but also impressive visual quality especially for edges.