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標題: | 雙眼視覺品質評估之研究及其應用 A Study of Binocular Quality Assessment and Its Applications |
作者: | Yu-Hsun Lin 林裕訓 |
指導教授: | 吳家麟 |
關鍵字: | 影像品質,雙眼視覺,三維影像,壓縮,訊號處理, Image Quality,Binocular Vision,3D Image,Compression,Signal Processing, |
出版年 : | 2014 |
學位: | 博士 |
摘要: | 三維影像的客觀品質評估方法在三維多媒體相關的應用以及壓縮等相關標準中扮演著關鍵的角色。有關三維影像的品質評估的研究問題,相對於二維影像而言,面臨著許多嶄新的挑戰,例如非對稱式三維影像壓縮、深度知覺的感受以及虛擬視角的影像合成等。更甚者,目前廣泛被使用的二維品質評估的計算方法(例如PSNR與SSIM)並無法有效地處理這些新興的挑戰。其三維影像所計算出的品質評估結果與使用者對於三維影像的主觀評測分數並未能獲得高度一致的結果證明了此一論點。本論文為了因應這些新興的挑戰,除了原有的二維影像評估方式外,有關雙眼整合的視覺行為-雙眼結合以及雙眼頻率整合也首次被應用在三維影像的品質評估上。此一新提出的品質評估方式將藉由已公開的主觀評測分數資料庫進行驗證。實驗結果顯示本研究所提出的三維影像品質評估方式與主觀評測的分數具有顯著一致的結果,其相關係數可高達0.88。再者,我們發現所提出的新品質評估方式也可以有效地評估有關合成的三維影像的品質。因此,我們相信此類的雙眼視覺整合行為在發展三維影像客觀品質評估的過程中應扮演著重要的角色。 The objective approaches to 3D image quality assessment play a key role in the development of compression standards and various 3D multimedia applications. The quality assessment of 3D images faces more new challenges, such as asymmetric stereo compression, depth perception, and virtual view synthesis, than its 2D counterparts. Moreover, the widely used 2D image quality metrics (e.g. PSNR and SSIM) cannot be directly applied to deal with these newly introduced challenges. This statement can be verified by the low correlation between the computed objective measures and the subjectively measured mean opinion scores (MOS's), when 3D images are the tested targets. In order to meet these newly introduced challenges, in this work, besides traditional 2D image metrics, the binocular integration behaviors - the Binocular Combination and the Binocular Frequency Integration (BFI), are utilized as the bases for measuring the quality of stereoscopic 3D images. The effectiveness of the proposed metrics is verified by conducting subjective evaluations on publicly available stereoscopic image databases. Experimental results show that significant consistency could be reached between the measured MOS and the proposed metrics, in which the correlation coefficient between them can go up to 0.88. Furthermore, we found that the proposed metrics can also address the quality assessment of the synthesized color-plus-depth 3D images well. Therefore, it is our belief that the binocular integration behaviors are important factors in the development of objective quality assessment for 3D images. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/56839 |
全文授權: | 有償授權 |
顯示於系所單位: | 資訊網路與多媒體研究所 |
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