首页> 外文会议>International Conference on Communication Technology; 20061127-30; Guilin(CN) >Communication Image Retrieved by Wavelet Filters Based on Lifting Scheme
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Communication Image Retrieved by Wavelet Filters Based on Lifting Scheme

机译:基于提升方案的小波滤波器获取通信图像

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In this paper, we present a new method of communication image retrieved using integer wavelet transform based on lifting scheme and the algorithms can be implemented on hardware easily. Because high frequency components obtained by wavelet decomposition are large around impulse noise, lifting wavelet filters are designed by changing their free parameters .The designed filters have features of impulse noise. Detection of impulse noise can be done by applying the learnt filters to noising images. Reduction of impulse noise from the image is carried out using a wavelet reconstruction formula. Because the computation of lifting scheme filter is decreased largely than general wavelet filters, the algorithm is implemented easily on hardware. Especially in TV tracking system image processing is real-time, there must be have perfect perspective that integer wavelet denoising method is joined with the modern signal processing device DSP and FPGA.
机译:本文提出了一种基于提升方案的整数小波变换检索通信图像的新方法,该算法可以很容易地在硬件上实现。由于通过小波分解得到的高频分量在脉冲噪声附近较大,因此通过改变自由小波滤波器的自由参数来设计提升小波滤波器。设计的滤波器具有脉冲噪声的特征。脉冲噪声的检测可以通过将学习到的滤波器应用于噪声图像来完成。使用小波重构公式可以减少图像中的脉冲噪声。由于提升方案滤波器的计算量比一般的小波滤波器减少了很多,因此该算法很容易在硬件上实现。特别是在电视跟踪系统中,图像处理是实时的,必须有一个完美的观点,即整数小波去噪方法与现代信号处理设备DSP和FPGA结合在一起。

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