计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
15期
224-228
,共5页
帧内编码%纹理一致性%模板匹配%音视频编码标准(AVS)视频
幀內編碼%紋理一緻性%模闆匹配%音視頻編碼標準(AVS)視頻
정내편마%문리일치성%모판필배%음시빈편마표준(AVS)시빈
intra coding%texture consistency%template matching%Audio Video coding Standard(AVS)video
针对AVS(Audio Video Coding Standard,音视频编码标准)视频部分帧内预测中固定三抽头滤波器难以适应纹理类型变化、预测精度低的问题,基于相邻一维数据块(像素行或者像素列)之间纹理一致性更强的特点,提出了基于一维数据块的帧内自适应滤波编码算法,将固定三抽头滤波器扩展为自适应滤波器,以一维数据块为单位生成预测,解决参考像素与预测像素之间距离较远所带来的相关性差、预测不准确的问题。利用最小二乘方法,对已编码的相邻一维数据块进行自适应滤波预测,计算得到最优的三抽头滤波器,将其直接作为当前一维数据块的自适应滤波器,从而避免了自适应滤波器系数的传输开销。实验结果表明:新的帧内编码方法能够提高现有AVS视频帧内编码效率平均达到0.324 dB,最高达到0.879 dB,而且编码性能高于帧内模板匹配方法平均0.120 dB。所提出的方法在新一代的视频编码标准AVS2.0的制定中具有广阔的应用前景。
針對AVS(Audio Video Coding Standard,音視頻編碼標準)視頻部分幀內預測中固定三抽頭濾波器難以適應紋理類型變化、預測精度低的問題,基于相鄰一維數據塊(像素行或者像素列)之間紋理一緻性更彊的特點,提齣瞭基于一維數據塊的幀內自適應濾波編碼算法,將固定三抽頭濾波器擴展為自適應濾波器,以一維數據塊為單位生成預測,解決參攷像素與預測像素之間距離較遠所帶來的相關性差、預測不準確的問題。利用最小二乘方法,對已編碼的相鄰一維數據塊進行自適應濾波預測,計算得到最優的三抽頭濾波器,將其直接作為噹前一維數據塊的自適應濾波器,從而避免瞭自適應濾波器繫數的傳輸開銷。實驗結果錶明:新的幀內編碼方法能夠提高現有AVS視頻幀內編碼效率平均達到0.324 dB,最高達到0.879 dB,而且編碼性能高于幀內模闆匹配方法平均0.120 dB。所提齣的方法在新一代的視頻編碼標準AVS2.0的製定中具有廣闊的應用前景。
침대AVS(Audio Video Coding Standard,음시빈편마표준)시빈부분정내예측중고정삼추두려파기난이괄응문리류형변화、예측정도저적문제,기우상린일유수거괴(상소행혹자상소렬)지간문리일치성경강적특점,제출료기우일유수거괴적정내자괄응려파편마산법,장고정삼추두려파기확전위자괄응려파기,이일유수거괴위단위생성예측,해결삼고상소여예측상소지간거리교원소대래적상관성차、예측불준학적문제。이용최소이승방법,대이편마적상린일유수거괴진행자괄응려파예측,계산득도최우적삼추두려파기,장기직접작위당전일유수거괴적자괄응려파기,종이피면료자괄응려파기계수적전수개소。실험결과표명:신적정내편마방법능구제고현유AVS시빈정내편마효솔평균체도0.324 dB,최고체도0.879 dB,이차편마성능고우정내모판필배방법평균0.120 dB。소제출적방법재신일대적시빈편마표준AVS2.0적제정중구유엄활적응용전경。
The fixed 3-tap filter in AVS intra prediction cannot adjust to various textures well, resulting in low coding efficiency of intra coding. Considering that texture consistency of adjacent samples is much stronger, adaptive filtering prediction based on one-dimensional block is proposed. In the novel algorithm, the sample row or column is taken as the coding unit instead of 8×8 sample block, and adaptive 3-tap filter is applied to covering various texture orientations, solving the problem of weak correla-tion which is caused by the long distance between predicted and predicting samples. To avoid the transmitting cost of adaptive filter coefficients, the adjacent coded one-dimensional sample block is taken as the target block and its adjacent block as the source to generate prediction, and via least square method, it’s easy to obtain adaptive filter coefficients which are directly facili-tated to the coding of current one-dimensional sample block. Experimental results show that the novel intra coding method out-performs conventional intra coding in AVS video by an average of 0.324 dB with maximum of 0.879 dB. The adaptive intra fil-tering coding based on one-dimensional block can get a stable gain of average 0.120 dB compared with intra coding based on template matching prediction. The novel intra coding method demonstrates a good potential in future AVS 2.0 standard.