Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52495
Title: A scalable H.264/AVC deblocking filter architecture
Authors: Cervero, T. 
Otero, A.
López, S. 
de la Torre, E.
Callicó, G. M. 
Riesgo, T.
Sarmiento, R. 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Deblocking filter
FPGA
H.264/AVC
Macroblock
Scalability
Issue Date: 2016
Journal: Journal of Real-Time Image Processing 
Conference: SPIE Conference on Real-Time Image and Video Processing as part of SPIE Photonics Europe Conference
Abstract: The deblocking filter (DF) is one of the most complex functional cores of the H.264/AVC and SVC codecs. Its computational cost is heavily dependent on the video profile and the selected scalability level. With the goal of providing faster and better solutions, developers are focused on designing hardware architectures. Thus, it is possible taking advantage of multitasking, reusability and parallelization techniques. In this context, this work proposes a scalable DF architecture that is able to adapt its structure and performance to different video configurations, due to its modular and regular structure. The scalability feature avoids redesigning the whole architecture in case of the environmental demands or the configuration settings change. These facts mean savings in terms of design productivity and silicon area by adapting the necessary logical resources to each condition. Furthermore, regarding the data dependences involved in the H.264/AVC DF algorithm, the proposed architecture relies on an improved version of a traditional wavefront parallelization strategy, also proposed by the authors. This solution reduces the amount of clock cycles needed to filter a video frame as compared to traditional strategies. Implementation results, in an FPGA Virtex-5, demonstrate the performance benefits of this flexible solution as compared to some rigid state-of-the-art deblocking filter approaches.
URI: http://hdl.handle.net/10553/52495
ISSN: 1861-8200
DOI: 10.1007/s11554-013-0359-9
Source: Journal of Real-Time Image Processing[ISSN 1861-8200],v. 12, p. 81-105
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