西安电子科技大学学报(自然科学版)
西安電子科技大學學報(自然科學版)
서안전자과기대학학보(자연과학판)
JOURNAL OF XIDIAN UNIVERSITY(NATURAL SCIENCE)
2015年
3期
1-7
,共7页
马祥%霍俊彦%任光亮%杨旭%常义林
馬祥%霍俊彥%任光亮%楊旭%常義林
마상%곽준언%임광량%양욱%상의림
深度图编码%帧内编码%帧内跳过编码
深度圖編碼%幀內編碼%幀內跳過編碼
심도도편마%정내편마%정내도과편마
depth map coding%intra coding%intra skip coding
因现有帧内编码算法编码深度图中含有边缘的宏块编码效率较低,故提出了一种利用视频与深度图之间相关性的边缘跳过帧内编码方法.该方法利用聚类方法从当前深度编码宏块及其参考像素部分对应的视频区域获得边缘信息,以此作为当前深度编码宏块及其参考像素的分割边缘信息,然后利用所得分割边缘信息将参考像素映射到当前编码宏块作为预测值.为了滤除聚类方法获得的分类信息中存在的噪点或者毛刺对预测的干扰,提出了双向扫描滤波的方法.利用所提边缘跳过帧内预测方法,可以跳过对边缘宏块中复杂边缘的编码,甚至边缘宏块完全被跳过不编码.实验结果表明,与原始编码算法相比,所提方法平均可减少24.25%的码率,峰值信噪比平均提升了0.70 dB,主观编码质量也得到明显增强.
因現有幀內編碼算法編碼深度圖中含有邊緣的宏塊編碼效率較低,故提齣瞭一種利用視頻與深度圖之間相關性的邊緣跳過幀內編碼方法.該方法利用聚類方法從噹前深度編碼宏塊及其參攷像素部分對應的視頻區域穫得邊緣信息,以此作為噹前深度編碼宏塊及其參攷像素的分割邊緣信息,然後利用所得分割邊緣信息將參攷像素映射到噹前編碼宏塊作為預測值.為瞭濾除聚類方法穫得的分類信息中存在的譟點或者毛刺對預測的榦擾,提齣瞭雙嚮掃描濾波的方法.利用所提邊緣跳過幀內預測方法,可以跳過對邊緣宏塊中複雜邊緣的編碼,甚至邊緣宏塊完全被跳過不編碼.實驗結果錶明,與原始編碼算法相比,所提方法平均可減少24.25%的碼率,峰值信譟比平均提升瞭0.70 dB,主觀編碼質量也得到明顯增彊.
인현유정내편마산법편마심도도중함유변연적굉괴편마효솔교저,고제출료일충이용시빈여심도도지간상관성적변연도과정내편마방법.해방법이용취류방법종당전심도편마굉괴급기삼고상소부분대응적시빈구역획득변연신식,이차작위당전심도편마굉괴급기삼고상소적분할변연신식,연후이용소득분할변연신식장삼고상소영사도당전편마굉괴작위예측치.위료려제취류방법획득적분류신식중존재적조점혹자모자대예측적간우,제출료쌍향소묘려파적방법.이용소제변연도과정내예측방법,가이도과대변연굉괴중복잡변연적편마,심지변연굉괴완전피도과불편마.실험결과표명,여원시편마산법상비,소제방법평균가감소24.25%적마솔,봉치신조비평균제승료0.70 dB,주관편마질량야득도명현증강.
Since the coding efficiency of the depth macro-block (MB) that contains the edge by using the existing intra coding method is low,an edge skip intra coding method based on the correlation between video and depth maps is proposed.In this method,the segmentation information of the current depth MB and its reference samples is derived from the corresponding video regions by clustering.With the segmentation information,the reference samples are mapped to the current MB as predicted samples.In order to remove the disturbance to the segmentation information caused by the noise point and burr from the clustering operation,a refinement operation is proposed by bi-direction scanning.With the proposed method,the complex edge of an edge MB,even a total edge MB,is skipped without coding.Experimental results demonstrate that compared with the original coding algorithm,the proposed method can reduce the coding bit-rate by 24.25% and increase the peak signal-to-noise ratio(PSNR)by 0.70 dB on average.Besides,the subj ective coding quality is also improved obviously.