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Classification method of SPIHT coding image resynchronization transmission

机译:SPIHT编码图像再同步传输的分类方法

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A source and channel coding scheme for image transmission over noisy channel is presented in this paper. There is crude block structure in the wavelet coefficient of images. Coding each image blocks independently and reassigning its bitstream can achieve the resynchronization of decoding image in receiving terminal to improve the image's ability to resist noisy. But different image block has different character, and has different energy distribution, so it's hard to implement consistency in rate-distortion performance. Paper proposes a classification method based on high frequency subband energy distribution of wavelet. Give different codeword length to different type image block to achieve better rate distortion performance. Experimental results show that the proposed scheme is able to provide better image quality than scheme without using the classification method in range of some BER.
机译:提出了一种在噪声信道上进行图像传输的源和信道编码方案。图像的小波系数中存在粗块结构。独立地编码每个图像块并重新分配其比特流可以实现接收终端中图像解码的重新同步,从而提高图像的抗噪能力。但是不同的图像块具有不同的特性,并且具有不同的能量分布,因此很难实现速率失真性能的一致性。提出了一种基于小波高频子带能量分布的分类方法。为不同类型的图像块提供不同的码字长度,以实现更好的速率失真性能。实验结果表明,在一定的误码率范围内,不使用分类方法,该方案能够提供比方案更好的图像质量。

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