圖像傳輸丟失信息的重建技術(shù)
The Reconstruction of Image Information Lost in Transmission
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摘要: 該文對于由網(wǎng)絡(luò)傳輸錯誤導(dǎo)致的圖像數(shù)據(jù)丟失,提出了對丟失圖像信息的最優(yōu)估計(jì)模型。同時針對變換編碼圖像數(shù)據(jù)丟失提出了一種基于變換域利用相鄰子塊的邊界信息估計(jì)受損子塊信息的技術(shù),以及對丟失信息最優(yōu)估計(jì)的實(shí)現(xiàn)算法與信噪比增益的解析形式。實(shí)驗(yàn)結(jié)果表明,重建圖像信噪比可提高1020dB,主觀質(zhì)量從1級可改善達(dá)到34級,同現(xiàn)有的其他方案相比,低頻與高頻信息的恢復(fù)效果都有改善,同時算法簡單,易于實(shí)現(xiàn)。
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關(guān)鍵詞:
- 邊界條件; 變換編碼; 圖像恢復(fù)
Abstract: This paper considers the modei of optimal estimation of image information when some of the image data are lost due to transmission errors. A new technology is proposed for image recovery in transform coding based on the boundary information of adjacent blocks, the algorithm for estimating the optimal solution and the analytical form of the gain of SNR. Experimental results show that when SNR increases 10-20 dB, the visual quality can improve from 1 to 3 or 4. Compare with the other theme, the algorithm proposed in this paper improves the quality of both low and high frequency information and can easily be implemented. -
M. Ghanbari, Two-layer coding of video signals for VBR networks, IEEE J. on Select Areas Commun., 1989, 7(6), 771-781.[2]K.H. Tzou, Post filtering for cell loss concealment in packet video, In Proc. SPIE Conf. Visual Commun., Image Processing, Philadelphia, PN, Nov, 1989, 1620-1627.[3]P. Haskell, D. Messerschmitt, Reconstructing lost video data in a lapped orthogonal transform based coder, In Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, Albuquerque, NM, Apr., 1990, 1985-1988.[4]Wang Yao, Zhu Qin-Fan, Shaw L, Maximally smooth image recovery in transform coding, IEEE Trans. on Commun., 1993, 41(10), 1544-1551. -
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