Bit-plane error recovery via cross subband for image transmission in JPEG2000

Pei-Jun Lee, Liang-Gee Chen
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引用次数: 17

Abstract

For multimedia transmission over noisy channels, the error robustness of JPEG2000 evidently outperforms that of JPEG. Since JPEG2000 is based on the discrete wavelet transform (DWT), traditional error concealment algorithms for still images in the discrete cosine transform (DCT) domain are not suitable for JPEG2000. In JPEG2000, decoding is processed bitplane by bitplane. Any data loss occurring in the bitstream will affect the consequent bitplanes and their wavelet coefficients. To solve this problem, the JPEG2000 VM7.2 program replaces the missing wavelet coefficients by zeros. However, the replacement may affect lots of significant nonzero coefficients such that some high frequency components are lost. In this paper, we present a novel error concealment algorithm for image transmission in the bitplane base. The proposed algorithm recovers the damaged bitplane data according to the cross subband and undamaged bitplane information. The recovered wavelet coefficients are similar with error-free data. The objective results show that the proposed algorithm has 3/spl sim/8dB improvement than those without the error resilient mechanism. From a subjective viewpoint, the proposed algorithm can achieve much smoother edges on the reconstructed image using our concealment algorithm.
JPEG2000图像传输中基于交叉子带的位面误差恢复
对于噪声信道下的多媒体传输,JPEG2000的鲁棒性明显优于JPEG。由于JPEG2000是基于离散小波变换(DWT),传统的离散余弦变换(DCT)域静态图像的误差隐藏算法不适用于JPEG2000。在JPEG2000中,解码是一个位面一个位面进行的。在比特流中发生的任何数据丢失都会影响相应的位面及其小波系数。为了解决这个问题,JPEG2000 VM7.2程序将缺失的小波系数替换为零。然而,这种替换可能会影响许多重要的非零系数,导致一些高频成分丢失。本文提出了一种基于位平面的图像传输错误隐藏算法。该算法根据交叉子带和未损坏的位面信息恢复损坏的位面数据。恢复的小波系数与无误差数据相似。客观结果表明,该算法比未加误差恢复机制的算法提高了3/spl sim/8dB。从主观的角度来看,采用我们的隐藏算法,该算法可以在重建图像上获得更平滑的边缘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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