在這篇論文中，我們提出兩種強健的聯合訊源與通道編碼(JSCC)的機制應用於JPEG2000之影像編碼。我們把多重描述編碼(MDC)技術結合在JPEG2000的編碼端，將影像編碼後，再利用具備非同等錯誤保護(UEP)能力的通道編碼器-碼率相容穿刺碼(RCPC codes)，使得還原後的影像失真能減到最小。我們提出的第一個和第二個模型分別是以分成偶數與基數來做的多重描述編碼(SMDC)以及利用純量量化(scalar quantizers)來做多重描述編碼(MDSQ)，利用訊源對錯誤發生時所產生的失真程度有所不同以及兩個通道狀況來決定訊源編碼與通道編碼的位元率之分配。因此在固定頻寬下，我們在滿足只有一個描述收到時解碼端的失真度不大於我們所能接受的最大失真度 ，使得兩個描述都收到的解碼端的失真度為最小。
□g由實驗結果顯示，利用我們所提出的非同等錯誤保護技術應用於SMDC、MDSQ、JPEG2000，在不同的通道狀態及頻寬下，解碼重建後的影像品質均優於利用同等錯誤保護技術(EEP)。而利用非同等錯誤保護技術的SMDC在頻寬大於0.5(每個像素之位元)下，其成果均比其他兩個來的好。如果在通道狀況較為不穩定的狀況下，MDSQ的架構就能提供較強健的影像重建品質。

In this thesis, we propose two models for robust joint source-channel coding scheme for JPEG2000 image coding. Here, we apply multiple description coding incorporated into JPEG2000 coder to encode image source and use the unequally error protection (UEP) schemes such as rate compatible punctured convolution (RCPC) codes for further enhanced channel coding performance. The first and second proposed models are referred to separated multiple description coding (SMDC) and multiple description scalar quantizer (MDSQ) based joint source-channel coding. The goal is to find an optimal bit allocation according to the source information and two channels status to minimize the central distortion under a target bit-rate and bounded side distortion .
Experiment results show that the proposed UEP outperform the EEP over different channel conditions and transmission rates. The performance of SMDC is higher than the others with UEP at transmission rate ( > 0.5 bpp). The MDSQ is more robust than the others with unstable channels.

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