基于MV空間相關(guān)性的圖像錯誤掩蓋方法的研究
發(fā)布時間:2018-06-24 19:31
本文選題:圖像錯誤掩蓋 + 運動向量 ; 參考:《電子科技大學(xué)》2014年碩士論文
【摘要】:在多媒體視頻技術(shù)迅速發(fā)展的現(xiàn)代社會,人們對于視頻通信的質(zhì)量要求越來越高,傳統(tǒng)的視頻壓縮技術(shù)已經(jīng)不能滿足大眾的需求。為了提供更好的視頻通信質(zhì)量以及更大的壓縮率,H.264/AVC編解碼協(xié)議應(yīng)運而生。相比之前的編解碼協(xié)議,H.264/AVC可在保持編碼質(zhì)量的前提下減少50%的編碼比特率,這大大減輕了視頻編碼信號在網(wǎng)絡(luò)信道上的傳輸壓力。然而,在實際通信中,傳輸信道的不穩(wěn)定性往往造成信號在傳輸過程中的丟失,從而導(dǎo)致終端接收到信號的失真。對于圖像信號而言會造成圖像的局部黑塊、馬賽克甚至整體圖像的丟失。所謂錯誤掩蓋,是利用解碼段接收到的準(zhǔn)確信息與丟失信息的相關(guān)關(guān)系進行內(nèi)容的估計,從而達到恢復(fù)圖像質(zhì)量的效果。這一技術(shù)既提高了接收端圖像質(zhì)量也不會給傳輸線路帶來額外的帶寬壓力,因此受到了相關(guān)圖像傳輸系統(tǒng)及協(xié)議的青睞。本文在對相關(guān)圖像錯誤掩蓋算法進行學(xué)習(xí)和研究的基礎(chǔ)上,針對H.264/AVC圖像編碼協(xié)議提出了兩種快速而有效的基于MV空間相關(guān)性的圖像錯誤掩蓋方法。本文主要完成了以下幾部分的工作:1.首先文章對多媒體視頻編碼原理及編解碼標(biāo)準(zhǔn)的發(fā)展歷史進行了簡單的闡述,并著重從編解碼的流程、采用的新技術(shù)特點以及其在現(xiàn)階段的應(yīng)用等對目前主流的視頻編解碼標(biāo)準(zhǔn)H.264/AVC進行詳細的介紹。2.針對H.264/AVC現(xiàn)階段使用的一些差錯控制技術(shù)進行了研究,對幾種主要的差錯控制技術(shù)進行介紹和分析,包括編碼端的差錯控制技術(shù)以及解碼端錯誤掩蓋技術(shù)。本文將要著重描述的便是時域錯誤掩蓋算法。3.研究了近年來針對H.264/AVC的幾類時域錯誤掩蓋算法,按照算法的運算特性分為幾類分別進行闡述,說明其各自的優(yōu)缺點并與錯誤掩蓋技術(shù)進行了對比。4.提出了基于MV空間相關(guān)性的時域錯誤掩蓋算法(MVSC)。該方法利用時域信息以及運動向量的空間相關(guān)性對已丟失的宏塊進行恢復(fù)。實驗表明,該算法能有效地對已丟失信息進行恢復(fù),視頻質(zhì)量得到很大改善,有一定的實用價值。5.對提出的MVSC算法進行了進一步的改進,將運動趨勢判斷因子和部分恢復(fù)方法進行重新設(shè)計,提出了優(yōu)化的基于MV空間相關(guān)性的時域錯誤掩蓋算法(OMVSC),并進行了仿真實驗得出實驗效果,結(jié)果有進一步的提升。
[Abstract]:In the modern society with the rapid development of multimedia video technology, the quality of video communication is becoming more and more demanding, and the traditional video compression technology can not meet the needs of the public. In order to provide better video communication quality and greater compression ratio H.264% AVC codec protocol emerged. Compared with the previous coding and decoding protocol H.264 / AVC can reduce the coding bit rate by 50% while maintaining the coding quality which greatly reduces the transmission pressure of the video coding signal over the network channel. However, in practical communication, the instability of the transmission channel often results in the loss of the signal in the transmission process, which leads to the distortion of the signal received by the terminal. For image signals, local black blocks, mosaics and even whole images are lost. The so-called error concealment is to estimate the content by using the relation between the accurate information received by the decoded segment and the lost information so as to achieve the effect of restoring the image quality. This technique not only improves the image quality of the receiver but also does not bring additional bandwidth pressure to the transmission line, so it is favored by the related image transmission systems and protocols. On the basis of the study and research on the error concealment algorithm of correlated images, this paper proposes two fast and effective image error concealment methods based on MV spatial correlation for H.264 / AVC image coding protocol. This paper mainly completes the following parts of the work: 1. First of all, this paper briefly describes the principle of multimedia video coding and the history of the development of coding and decoding standards, and focuses on the process of encoding and decoding. The features of the new technology and its application at the present stage are introduced in detail to the current mainstream video coding and decoding standard H.264 / AVC. In this paper, some error control techniques used by H.264 / AVC are studied, and several main error control techniques are introduced and analyzed, including coding error control and decoding error concealment. This paper will focus on the time domain error concealment algorithm. 3. In this paper, several kinds of time-domain error concealment algorithms for H.264 / AVC in recent years are studied. The algorithms are divided into several categories according to their operational characteristics, and their advantages and disadvantages are explained and compared with error concealment techniques. A time domain error concealment algorithm (MVSC) based on MV spatial correlation is proposed. The time domain information and the spatial correlation of motion vectors are used to recover the lost macroblock. Experiments show that the algorithm can effectively recover the lost information, and the video quality is greatly improved, which has some practical value. The proposed MVSC algorithm is further improved, and the motion trend judgment factor and partial recovery method are redesigned. An optimized time-domain error concealment algorithm based on MV spatial correlation (OMVSC) is proposed.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TN919.81
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