In-loop filtering significantly helps detect and remove blocking artifacts across block boundaries in low bitrate coded High Efficiency Video Coding(HEVC)frames and improves its subjective visual quality in multimedia...In-loop filtering significantly helps detect and remove blocking artifacts across block boundaries in low bitrate coded High Efficiency Video Coding(HEVC)frames and improves its subjective visual quality in multimedia services over communication networks.However,on faster processing of the complex videos at a low bitrate,some visible artifacts considerably degrade the picture quality.In this paper,we proposed a four-step fuzzy based adaptive deblocking filter selection technique.The proposed method removes the quantization noise,blocking artifacts and corner outliers efficiently for HEVC coded videos even at low bit-rate.We have considered Y(luma),U(chromablue),and V(chroma-red)components parallelly.Finally,we have developed a fuzzy system to detect blocking artifacts and use adaptive filters as per requirement in all four quadrants,namely up 45◦,down 45◦,up 135◦,and down 135◦across horizontal and vertical block boundaries.In this context,experimentation is done on a wide variety of videos.An objective and subjective analysis is carried out with MATLAB software and Human Visual System(HVS).The proposed method substantially outperforms existing postprocessing deblocking techniques in terms of YPSNR and BD_rate.In the proposed method,we achieved 0.32–0.97 dB values of YPSNR.Our method achieved a BD_rate of+1.69%for the luma component,−0.18%(U)and−1.99%(V)for chroma components,respectively,with respect to the stateof-the-art methods.The proposed method proves to have low computational complexity and has better parallel processing,hence suitable for a real-time system in the near future.展开更多
为了解决H.264/AVC的去块效应滤波算法中判断边界强度(boundary strength,BS)计算量大的问题,提出一种快速判定BS的算法。通过详细分析H.264编解码过程的特点,结合Baseline Profile中边界强度值的出现规律,优化了原始的BS判定流程并且...为了解决H.264/AVC的去块效应滤波算法中判断边界强度(boundary strength,BS)计算量大的问题,提出一种快速判定BS的算法。通过详细分析H.264编解码过程的特点,结合Baseline Profile中边界强度值的出现规律,优化了原始的BS判定流程并且减少了计算量。通过Intel VTune试验证明,在不影响主观质量的基础上以较小的PSNR(peak signal to noise ration)损耗获得了大约56%的时间减少量,从而减小去块效应滤波器的复杂度,有助于H.264解码器的硬件实现。展开更多
文摘In-loop filtering significantly helps detect and remove blocking artifacts across block boundaries in low bitrate coded High Efficiency Video Coding(HEVC)frames and improves its subjective visual quality in multimedia services over communication networks.However,on faster processing of the complex videos at a low bitrate,some visible artifacts considerably degrade the picture quality.In this paper,we proposed a four-step fuzzy based adaptive deblocking filter selection technique.The proposed method removes the quantization noise,blocking artifacts and corner outliers efficiently for HEVC coded videos even at low bit-rate.We have considered Y(luma),U(chromablue),and V(chroma-red)components parallelly.Finally,we have developed a fuzzy system to detect blocking artifacts and use adaptive filters as per requirement in all four quadrants,namely up 45◦,down 45◦,up 135◦,and down 135◦across horizontal and vertical block boundaries.In this context,experimentation is done on a wide variety of videos.An objective and subjective analysis is carried out with MATLAB software and Human Visual System(HVS).The proposed method substantially outperforms existing postprocessing deblocking techniques in terms of YPSNR and BD_rate.In the proposed method,we achieved 0.32–0.97 dB values of YPSNR.Our method achieved a BD_rate of+1.69%for the luma component,−0.18%(U)and−1.99%(V)for chroma components,respectively,with respect to the stateof-the-art methods.The proposed method proves to have low computational complexity and has better parallel processing,hence suitable for a real-time system in the near future.
文摘为了解决H.264/AVC的去块效应滤波算法中判断边界强度(boundary strength,BS)计算量大的问题,提出一种快速判定BS的算法。通过详细分析H.264编解码过程的特点,结合Baseline Profile中边界强度值的出现规律,优化了原始的BS判定流程并且减少了计算量。通过Intel VTune试验证明,在不影响主观质量的基础上以较小的PSNR(peak signal to noise ration)损耗获得了大约56%的时间减少量,从而减小去块效应滤波器的复杂度,有助于H.264解码器的硬件实现。
