IMPLEMENTATION OF DEBLOCKING FILTER ALGORITHM USING RECONFIGURABLE ARCHITECTURE

A new international standards H.264 is used for the compression of video images, the blocking artifacts is one of the artifacts in video and image compression coding. This artifact will reduce the picture quality of the reconstructed images and video. To improve the quality of the received picture Deblocking filters are used to remove the artifacts. There are several algorithms have been proposed by researchers, this paper will introduce a Deblocking algorithm to remove the artifacts. This paper also proposes the hardware implementation for same algorithm. To reduce the power consumption of hardware implementation a technique clock gating is introduced. We achieved the result of 30% power reduction for clock gating technique at the cost of 2.3 % hardware and 5.8% clock speed.

[1]  Iain E. G. Richardson,et al.  H.264 and MPEG-4 Video Compression: Video Coding for Next-Generation Multimedia , 2003 .

[2]  Brian Dickey Hardware Implementation of a High Speed Deblocking Filter for the H.264 Video Codec , 2012 .

[3]  Addanki Purna Ramesh,et al.  FPGA Implementation of Deblocking Filter Custom Instruction Hardware on NIOS - II Based SOC , 2011, VLSIC 2011.

[4]  S Vijay,et al.  Parallel deblocking filter for H.264 AVC/SVC , 2010, 2010 IEEE Workshop On Signal Processing Systems.

[5]  Chen-Yi Lee,et al.  An In/Post-Loop Deblocking Filter With Hybrid Filtering Schedule , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Jani Lainema,et al.  Adaptive deblocking filter , 2003, IEEE Trans. Circuits Syst. Video Technol..

[7]  Ilker Hamzaoglu,et al.  A Low Power Implementation of H.264 Adaptive Deblocking Filter Algorithm , 2007, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007).

[8]  Youn-Long Lin,et al.  A near optimal deblocking filter for H.264 advanced video coding , 2006, Asia and South Pacific Conference on Design Automation, 2006..

[9]  Yo-Sung Ho,et al.  Deblocking Filter Algorithm with Low Complexity for H.264 Video Coding , 2008, PCM.