Multiple description image coding for noisy channels by pairing transform coefficients
Multiple description image coding for noisy channels by pairing transform coefficients
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DOI：
10.1109/mmsp.1997.602671
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发表时间：
1997-06
期刊：
影响因子：
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通讯作者：
Yao Wang;M. Orchard;A. Reibman
中科院分区：
文献类型：
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作者：
Yao Wang;M. Orchard;A. Reibman
多重描述编码 (MDC) 是一种在编码增益与信道错误鲁棒性之间进行权衡的方法。本文提出了一种使用变换编码框架的MDC新方法。我们没有使用去相关所有系数的 Karhunen-Loeve 变换 (KLT)，而是选择变换基，以便系数成对相关。这是通过旋转 KLT 中每两个基向量来完成的。然后将每对相关系数分为两个描述。仅考虑 45/spl 度/旋转，这会产生两个平衡流。在实际实现中，采用DCT代替KLT，并且通过旋转DCT系数来完成变换基的旋转。实验结果表明，与标准 JPEG 编码器相比，该方法可以通过任何一种描述以相对较小的开销（“lena”为 20%）实现令人满意的图像重建。
Multiple description coding (MDC) is a way of trading off coding gain with robustness to channel errors. This paper presents a new method for MDC using the framework of transform coding. Instead of using the Karhunen-Loeve transform (KLT) that decorrelates all the coefficients, we choose the transform bases so that the coefficients are correlated pair-wise. This is accomplished by rotating every two basis vectors in the KLT. Each pair of correlated coefficients are then split between two descriptions. Only 45/spl deg/ rotation is considered which leads to two balanced streams. In the actual implementation, the DCT is employed in place of the KLT and the rotation of transform bases is accomplished by rotating the DCT coefficients. Experimental results show that this method can lead to satisfactory image reconstruction from any one description with a relatively small (20% for "lena") overhead over a standard JPEG coder.