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3D-HEVC深度圖像幀內(nèi)編碼單元劃分快速算法

張洪彬,  伏長虹,  蘇衛(wèi)民,  陳銳霖,  蕭允治

張洪彬, 伏長虹, 蘇衛(wèi)民, 陳銳霖, 蕭允治. 3D-HEVC深度圖像幀內(nèi)編碼單元劃分快速算法[J]. 電子與信息學(xué)報, 2016, 38(10): 2523-2530. doi: 10.11999/JEIT151426
引用本文: 張洪彬, 伏長虹, 蘇衛(wèi)民, 陳銳霖, 蕭允治. 3D-HEVC深度圖像幀內(nèi)編碼單元劃分快速算法[J]. 電子與信息學(xué)報, 2016, 38(10): 2523-2530. doi: 10.11999/JEIT151426
ZHANG Hongbin, FU Changhong, SU Weimin, CHAN Yuilam, SIU Wanchi. Fast Coding Unit Decision Algorithm for Depth Intra Coding in 3D-HEVC[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2523-2530. doi: 10.11999/JEIT151426
Citation: ZHANG Hongbin, FU Changhong, SU Weimin, CHAN Yuilam, SIU Wanchi. Fast Coding Unit Decision Algorithm for Depth Intra Coding in 3D-HEVC[J]. Journal of Electronics & Information Technology, 2016, 38(10): 2523-2530. doi: 10.11999/JEIT151426

3D-HEVC深度圖像幀內(nèi)編碼單元劃分快速算法

doi: 10.11999/JEIT151426
  • 2.

    (南京理工大學(xué)電子工程與光電技術(shù)學(xué)院 南京 210094) ②(香港理工大學(xué)電子資訊工程學(xué)系 香港 999077)

基金項目: 

國家自然科學(xué)基金(61301109)，江蘇省自然科學(xué)基金(BK2012395)

Fast Coding Unit Decision Algorithm for Depth Intra Coding in 3D-HEVC

  • 2.

    (School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)

Funds: 

The National Natural Science Foundation of China (61301109), The Natural Science Foundation of Jiangsu Province (BK2012395)

  • 摘要: 針對3維高性能視頻編碼(3D-HEVC)中深度圖像幀內(nèi)編碼單元(Coding Unit, CU)劃分復(fù)雜度高的問題，該文提出一種基于角點和彩色圖像的自適應(yīng)快速CU劃分算法。首先利用角點算子，并根據(jù)量化參數(shù)選取一定數(shù)目的角點，以此進(jìn)行CU的預(yù)劃分；然后聯(lián)合彩色圖像的CU劃分對預(yù)劃分的CU深度級進(jìn)行調(diào)整；最后依據(jù)調(diào)整后的CU深度級，縮小當(dāng)前CU的深度級范圍。實驗結(jié)果表明，與原始3D-HEVC的算法相比，該文所提算法平均減少了約63%的編碼時間；與只基于彩色圖像的算法相比，該文的算法減少了約13%的編碼時間，同時降低了約3%的平均比特率，有效地提高了編碼效率。
    Abstract: An efficient Coding Unit (CU) decision algorithm is proposed for depth intra coding, in which the depth level of CU is predicted by Corner-Point (CP) and the co-located texture CU. More specially, firstly, the CPs are obtained by corner detector in junction with the quantization parameter, which are further used to pre-allocate the depth level. After that, the refinement of pre-allocation depth level is performed by considering the block partition of the co-located texture. Finally, different depth search range is selected based on the final pre-allocation depth levels. Simulation results show that the proposed algorithm can provide about 63% time saving with maintaining coding performance compared with the original 3D-HEVC method. On the other hand, it can achieve about 13% time saving while the BD-rate 3% decreased over the CU decision method that only considers the texture information.
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出版歷程
  • 收稿日期:  2015-12-17
  • 修回日期:  2016-06-22
  • 刊出日期:  2016-10-19

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