Optimization Of The Deblocking Filter In H.264 Codec For Real Time Implementation

Yadav, Hitesh; Rao, K. R.

doi:10.1109/iscit.2006.339913

Cited by 7 publications

(2 citation statements)

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“…Another issue is that the block-based processing introduces visible blocking artifacts in flat regions and ringing artifacts along object edges in the reconstructed frames. [n general, the less the bit rate, the more severe is the manifest of the coding artifacts in the reconstructed video [3].…”

Section: Imentioning

confidence: 99%

H.264 deblocking filter enhancement

Mahjoub

Osman

Aly

2011

The 2011 International Conference on Computer Engineering &Amp; Systems

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This paper proposes new software-based techniques for speeding and reducing the complexity of the deblocking filter used in the state-of-the-art H.264 international video coding standard to improve the visual quality of the decoded video frames. The proposed techniques are classified as standard compliant and standard-noncompliant techniques. The standard compliant techniques optimize the standard filter through optimizing the boundary strength calculation and group filtering of macroblocks. The standard-noncompliant techniques predict the new boundary strength and edge detection conditions from previous values. Experimental results on both an embedded platform and a desktop PC show significant increment in performance improvement that reaches 47% for the standard compliant techniques and 80% for the standard-noncompliant techniques. They also demonstrate that for standard noncompliant techniques the quality degradation computed using the Peak Signal to Noise Ratio is insignificant. The H.264/MPEG-4 A VC is the latest international video coding standard [1][2]. It is being used increasingly in several consumer electronics for a wide range of applications as video conferencing, digital video storing, video streaming, and video telephony. It uses state-of-the-art coding tools and provides superior coding efficiency. The superiority of coding efficiency is due to added features and functionalities as block-based processing, variable block-size mode selection, quarter-pixel motion compensation, and deblocking filter. On the other hand, these additions have resulted in a complexity that doubles that of the H.263. Another issue is that the block-based processing introduces visible blocking artifacts in flat regions and ringing artifacts along object edges in the reconstructed frames. [n general, the less the bit rate, the more severe is the manifest of the coding artifacts in the reconstructed video [3]. The deblocking filter is one important tool to increase the coding efficiency and significantly improve the decoded video quality of the H.264 by removing the blocking and ringing artifacts [4]. However, it significantly adds to the H.264 computational complexity and time consumption. Fig. 1 gives profiling results for an H.264 decoder. These results were obtained by running the H.264 baseline profile on the 978-1-4577-0128-3/11/$26.00

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Section: Imentioning

confidence: 99%

H.264 deblocking filter enhancement

Mahjoub

Osman

Aly

2011

The 2011 International Conference on Computer Engineering &Amp; Systems

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“…In H.264, the adaptive deblocking filter [2] is one of the key components that can contribute to eminent performance in objective quality and subjective quality. Although efficient schemes have been proposed [3][4][5][6] and this methods reduce the complexity of adaptive We can be utilized two variables to modify the equation (3) and (4) as following:…”

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confidence: 99%

Quality improvement for adaptive deblocking filter in H.264/AVC System

Hsia

Lee

Wang

2008

2008 International Conference on Communications, Circuits and Systems

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Blocking artifacts influences image quality most important factor in the low bit-rate. New generational video coding standard for ".264, the adaptive deblocking filter plays a very important role in order to detect and analyze real and artificially edges on coded block. This paper presents a new approach for the adaptive deblocking filter of the H.264/AVC in order to improve quality. Comparing with the standard algorithm, the experimental results demonstrate the improvement in both the objective and the subjective qualities, which can achieve the improvement about 0.25-0.35 dB PSNR in average compared with the original H.264/AVC reference software JM 11.0.

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