發(fā)布時(shí)間：2018-01-18 10:32

  本文關(guān)鍵詞：新型高效率視頻壓縮標(biāo)準(zhǔn)HEVC幀內(nèi)編碼算法研究　出處：《華中師范大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 視頻壓縮技術(shù) HEVC 幀內(nèi)預(yù)測(cè) 模式判決 SSIM

【摘要】：隨著多媒體技術(shù)的快速提升,高清晰度數(shù)字視頻的應(yīng)用越來越廣,視頻數(shù)據(jù)量亦隨之不斷加大,然而,由于很難在實(shí)際應(yīng)用中傳輸巨大的視頻數(shù)據(jù),導(dǎo)致對(duì)視頻高壓縮比技術(shù)的迫切要求日益提升。因此,視頻編碼組(JCT-VC)在考慮到H.264無法滿足日益增長(zhǎng)需求的基礎(chǔ)上,正式制定了新型高效率視頻壓縮標(biāo)準(zhǔn)HEVC。然而,隨著HEVC壓縮效率將近一倍的提升,其算法復(fù)雜度也隨之增加了近2-4倍,這對(duì)壓縮速度有著巨大的致命損害,因此,在確保HEVC視頻質(zhì)量無明顯變化的基礎(chǔ)上,如何有效減少HEVC標(biāo)準(zhǔn)的算法復(fù)雜度,大幅度地加快視頻壓縮速度,推進(jìn)HEVC發(fā)展,成為HEVC應(yīng)用普及化和商業(yè)化的問題所在。本文在保證質(zhì)量可接受情況下,從降低HEVC算法復(fù)雜度入手,研究了編碼器中較為耗時(shí)的地方,根據(jù)編碼耗時(shí)的統(tǒng)計(jì)結(jié)果,剖析了其編碼時(shí)間過高的根源,為了加快幀內(nèi)預(yù)測(cè)過程和簡(jiǎn)化模式判決流程,從而提出了兩種快速算法：基于SSIM和MPM的快速預(yù)測(cè)算法和基于候選模式概率的快速模式判斷算法。本文所提出算法的主要方向是通過增加一種特性來跳過己有算法,同時(shí),采用多種策略減少候選預(yù)測(cè)模式的數(shù)量,進(jìn)而在保證性能的前提下,優(yōu)化其計(jì)算復(fù)雜度。針對(duì)每一個(gè)預(yù)測(cè)塊均要使用基于SATD代價(jià)函數(shù)進(jìn)行粗略模式選擇的問題,本文利用相鄰塊結(jié)構(gòu)信息相似性SSIM與最佳預(yù)測(cè)模式相關(guān)性的特點(diǎn)以及最有可能模式MPM被確定為最終模式的概率特征,提出了基于SSIM和MPM的快速預(yù)測(cè)算法,以此來實(shí)現(xiàn)不必所有的預(yù)測(cè)塊均要進(jìn)行粗選模式和避免不必要的率失真優(yōu)化。針對(duì)每個(gè)類型PU的候選模式總數(shù)之多的問題,本文通過深入研究了不同代價(jià)值的模式最終被選為最佳預(yù)測(cè)模式的概率不盡相同,在此基礎(chǔ)上,提出了基于候選模式概率的快速模式判斷算法,從而,達(dá)到了縮減候選模式集數(shù)量的目的,利用五類視頻測(cè)試序列對(duì)本文所提算法和HEVC標(biāo)準(zhǔn)實(shí)施對(duì)比,實(shí)驗(yàn)結(jié)果顯示,在保持碼率無明顯變化和主客觀質(zhì)量可接受基礎(chǔ)上,該算法可以減少HEVC標(biāo)準(zhǔn)參考代碼HM12.1編碼時(shí)間33.03～46.65%,大大地減少了Intra編碼的計(jì)算時(shí)間,另外,通過RD曲線和重建圖像的主觀質(zhì)量對(duì)比分析發(fā)現(xiàn),本文所提出的兩種算法結(jié)合后的壓縮性能與HEVC標(biāo)準(zhǔn)原有算法的編碼性能幾乎不存在差異,說明該算法對(duì)于HEVC的實(shí)用性和商業(yè)性具有實(shí)用價(jià)值。
[Abstract]:With the rapid improvement of multimedia technology, the application of high-definition digital video is becoming more and more extensive, and the amount of video data is increasing. However, it is difficult to transmit huge video data in practical applications. Therefore, the video coding group JCT-VCC can not meet the increasing demand of H.264. A new efficient video compression standard, HEVC, has been developed. However, with the improvement of HEVC compression efficiency, its algorithm complexity increases 2-4 times. This has a huge fatal damage to the compression speed. Therefore, on the basis of ensuring that the HEVC video quality has no obvious change, how to effectively reduce the algorithm complexity of the HEVC standard. Greatly accelerate the speed of video compression, promote the development of HEVC, become the problem of popularization and commercialization of HEVC applications. Starting with reducing the complexity of HEVC algorithm, this paper studies the time-consuming part of the encoder, and analyzes the root cause of the excessive coding time according to the statistical results of the coding time. In order to speed up the intra prediction process and simplify the mode decision process. Thus, two fast algorithms are proposed:. The fast prediction algorithm based on SSIM and MPM and the fast pattern judging algorithm based on candidate pattern probability. The main direction of the algorithm proposed in this paper is to skip the existing algorithm by adding a characteristic. At the same time, a variety of strategies are used to reduce the number of candidate prediction models, thus ensuring performance. To optimize its computational complexity, every prediction block should use SATD cost function for rough pattern selection. In this paper, we use the characteristics of the similarity of adjacent block structure information SSIM and the correlation between the best prediction pattern and the probability feature that the most likely pattern MPM is determined as the final pattern. A fast prediction algorithm based on SSIM and MPM is proposed. In this way, it is not necessary for all prediction blocks to carry out rough selection mode and avoid unnecessary rate-distortion optimization, aiming at the problem of the total number of candidate modes for each type of pu. In this paper, through in-depth study of the different generations of value of the model is ultimately selected as the best prediction model is not the same probability, on the basis of this, proposed a candidate model based on the probability of fast pattern judgment algorithm, thus. In order to reduce the number of candidate pattern sets, five kinds of video test sequences are used to compare the proposed algorithm with the HEVC standard, and the experimental results show that. On the basis of keeping the code rate unchanged and the subjective and objective quality acceptable, the algorithm can reduce the HM12.1 coding time of HEVC standard reference code by 33.03 ~ 46.65%. The computational time of Intra coding is greatly reduced. In addition, the subjective quality analysis of Rd curve and reconstructed image is found. There is almost no difference between the compression performance of the two algorithms and the coding performance of the original HEVC standard algorithm, which indicates that the proposed algorithm has practical value for the practicality and commercial of HEVC.
【學(xué)位授予單位】：華中師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN919.81

【參考文獻(xiàn)】

相關(guān)期刊論文 前7條

1 謝曉燕;王歡;;基于模式分組的幀內(nèi)預(yù)測(cè)模式快速選擇算法[J];電視技術(shù);2015年22期

2 肖秀秀;張新晨;;一種HEVC快速幀內(nèi)模式判斷算法[J];華中師范大學(xué)學(xué)報(bào)(自然科學(xué)版);2015年05期

3 詹曉濤;;HEVC幀內(nèi)預(yù)測(cè)編碼快速判決算法分析[J];中國(guó)有線電視;2015年07期

4 斯曉華;王國(guó)中;趙海武;李國(guó)平;滕國(guó)偉;;深度圖的快速自適應(yīng)幀內(nèi)預(yù)測(cè)模式選擇算法[J];上海大學(xué)學(xué)報(bào)(自然科學(xué)版);2015年02期

5 張新晨;肖秀秀;趙婭;黎偉;江昊;肖進(jìn)勝;;一種HEVC幀內(nèi)預(yù)測(cè)快速算法[J];計(jì)算機(jī)工程;2014年10期

6 石飛宇;劉昱;;一種HEVC快速幀內(nèi)模式判斷算法[J];電視技術(shù);2013年11期

7 李冬梅;多媒體應(yīng)用中的視覺信息描述與壓縮技術(shù)[J];現(xiàn)代電視技術(shù);2001年08期

，

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