本文選題：HEVC + 3D-HEVC��； 參考：《西安電子科技大學》2014年碩士論文

【摘要】：HEVC是ITU-T和ISO聯(lián)合制定的下一代視頻編碼標準，相比于H.264/AVC標準，在重建質(zhì)量相同的情況下，HEVC可以節(jié)省約一半的碼率。3D-HEVC是HEVC的擴展。作為一種基于HEVC的新3D標準，3D-HEVC以多視點視頻加深度為壓縮數(shù)據(jù)格式，用于支持立體和交互的視覺體驗。本文主要研究3D-HEVC中的編碼技術，包括視頻圖像的視差矢量預測技術和深度圖預處理編碼技術。 視差矢量預測通常采用的方法是利用時域和空域相鄰塊的視差信息估計當前編碼塊的視差信息。但當物體運動時，該方法估計的視差信息精度不高，影響了視差矢量使用的概率及視點間預測的精度。為此本文提出利用當前編碼塊的運動信息確定對應參考塊在參考幀中的位置，提取對應參考塊的視差矢量信息，用于預測當前編碼塊的視差信息。通過該方法，提高了獲得的視差信息精度，增大了視差矢量預測編碼模式被采用的概率，降低了編碼所需碼率。 深度圖編碼是3D編碼的重要組成部分。目前深度圖主要通過估計算法獲得。由于估計算法精度的限制，，大部分深度圖的相鄰幀背景區(qū)域存在閃爍現(xiàn)象，不利于進行編碼壓縮。本文利用視頻圖像的幀差圖估計出背景區(qū)域，并對該區(qū)域所對應的深度圖區(qū)域進行平滑濾波，以增強深度圖背景區(qū)域時間相關性。另外，本文對視頻圖像幀差圖進行腐蝕和膨脹操作以便去除噪點、保護運動前景及邊緣信息。實驗結果表明，所提算法在不影響合成視點視頻質(zhì)量的前提下，增加了幀間skip和merge模式使用概率，降低了編碼碼率。
[Abstract]:HEVC is a next-generation video coding standard developed jointly by ITU-T and ISO. Compared with the H.264/AVC standard, HEVC can save about half of the bit rate. 3D-HEVC is an extension of HEVC under the same reconstruction quality.As a new 3D standard based on HEVC, 3D-HEVC uses multi-view video and depth as compressed data format to support stereoscopic and interactive visual experience.This paper mainly studies the coding techniques in 3D-HEVC, including parallax vector prediction of video images and depth map preprocessing coding.Parallax vector prediction usually uses parallax information of adjacent blocks in time domain and spatial domain to estimate parallax information of current coded blocks.However, when the object is moving, the accuracy of the parallax information estimated by this method is not high, which affects the probability of using parallax vector and the accuracy of prediction between viewpoints.In this paper, the motion information of the current coded block is used to determine the position of the corresponding reference block in the reference frame, and the parallax vector information of the corresponding reference block is extracted to predict the parallax information of the current coded block.Through this method, the accuracy of parallax information is improved, the probability of parallax vector prediction coding mode is increased, and the coding rate is reduced.Depth map coding is an important part of 3D coding.At present, the depth map is mainly obtained by the estimation algorithm.Because of the accuracy limitation of the estimation algorithm, there is a flicker in the background region of the adjacent frames in most depth maps, which is not conducive to coding compression.In this paper, the background region is estimated by the frame difference graph of the video image, and the depth map region corresponding to this region is filtered smoothly to enhance the temporal correlation of the background region of the depth map.In addition, the frame difference image of video image is corrupted and inflated to remove noise and protect motion foreground and edge information.Experimental results show that the proposed algorithm increases the usage probability of skip and merge modes between frames and reduces the coding rate without affecting the quality of synthetic view video.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN919.81

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