這篇論文中，我們提出一個不均等錯誤保護技術在SLCCA影像壓縮技術上。
由於SLCCA所產生的重要係數地圖和量的重要性交錯排列，如果我們施予相同的保護，會對不重要的資料有過多的保護。
我們提出一個重組的方法，利用SLCCA的重要係數地圖和量的重要性，由重要排序至不重要。然後再對重要的資料給予較多的保護，相對地，不重要的資料給予較少的保護，以避免對不重要有過多的保護，及有較好的錯誤修復效能。

In SLCCA , the location and magnitude of significant coefficients are specified by the so-called significance map and magnitude respectively . As we know significance map is susceptible , error will propagate when data was deteriorated .
This paper address this critical problem and provide an novel approach . In the significance map , the importance of data is interlaced . And our approach is to re-organize the significant map according to encoded symbol’s characteristic . In SLCCA , four symbols are used to encode : POS , NEG , ZERO , LINK . POS or NEG represents the sign of a significant coefficient . ZERO represents an insignificant coefficient . LINK marks the presence of a significance-link . Symbol LINK is more important than POS NEG ZERO . Because when error happen in symbol LINK , it will lead to propagation error . Re-organized data is protected by differRS code . More important data are allocated more parity symbols .

Contents
1 Introduction……………………………………………………………1
2 Abstract of SLCCA……………………………………………………4
2.1 Discrete Wavelet Transform……………………………………4
2.1.1 Abstract of Discrete Wavelet Transform…………………4
2.1.2 Scan Order of Discrete Wavelet Transformed Coefficient
(in SLCCA )………………………………………………5
2.2 Quantization……………………………………………………7
2.3 Connected Components………………………………………10
2.4 Significance-Link………………………………………………16
2.5 Adaptive Arithmetic Coding……………………………………18
2.6 SLCCA Algorithm……………………………………………21
3 Related Word…………………………………………………………24
4 Proposed method……………………………………………………31
4.1 Concept…………………………………………………………31
4.2 Implement Issue………………………………………………32
5 Simulation……………………………………………………………36
6 Conclusion…………………………………………………………39

List of Figures
Fig 2.1.2.1 the order of SLCCA transmit subband……………………6
Fig 2.1.2.2 the order of SLCCA scan coefficients within subband……7
Fig2.2.1 result which passed through discrete wavelet transform …8
Fig2.2.2 result of quantization ..……………………………………9
Fig2.3.1 SLCCA search order..……………………………………12
Fig 2.3.2(a) SLCCA search order……………………………………….12
Fig 2.3.2(b) SLCCA search order……………...…………………….…12
Fig 2.3.3 formation connected component example………………13
Fig 2.3.4 picture Lena after discrete wavelet transforming………15
Fig 2.4.1 the relation of significant link…………………………16
Fig 2.4.2 a example of significant link ……...………………………17
Fig 3.1 Bit stream demultiplexing………………………………25
Fig 3.2 re-organized bit stream……………………………………26
Fig 3.3 Error resilient source bit stream packetization……………28
Fig 4.1.1 3-scale wavelet image…...………………………………32
Fig 4.2.1 SLCCA significant map bit-stream……………………34
Fig 4.2.2 re-organized SLCCA’s significant map…………………34
Fig 4.2.3 divide Significant magnitude bit-stream to two part……35
Fig5.1 Performance comparison of the proposed codec for the “airplane” image at 1bpp………………………………37
Fig5.2 Performance comparison of the proposed codec for the “toys” image at 1bpp……………………………………37
Fig5.3 Performance comparison of the proposed codec for the “Lena” image at 1bpp……………………………………38
Fig5.4 Performance comparison of the proposed codec for the “pepper” image at 1bpp…………………………………38

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