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An adaptive lifting wavelet transform in the underwater acoustic image compression

机译:水下声学图像压缩中的自适应提升小波变换

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The traditional wavelet which can not change with the input signals, combined with the constraints of UWA communication channel and sonar imaging principle and so on, leading to the processing of some images with sharp edges, piecewise smooth and singularity are not ideal. To solve problems above and obtain an ideal underwater image coding method, the paper is started with the promotion of the wave nature, promoted a lifting scheme of adaptive wavelet combined by the actual situation. Through comprehensive comparison, the algorithm can make full use of adaptive characteristics to achieve the purpose of keeping the image edges and reducing the wavelet coefficients without any overhead cost. Meanwhile, a wavelet structure with updating before forecast is adopted by the algorithm to ensure the stability of wavelet transform. Simulate imaging sonar compressing by dint of Matlab. With the contrast and analyze, the algorithm can reduce wavelet coefficients, and also can increase condensation rate, and to make sure stability. The algorithm has a worthiness in imaging sonar.
机译:传统的小波不能随输入信号而改变,结合了UWA通信信道和声纳成像原理等的约束,导致处理一些具有锋利边缘的图像,分段平滑和奇点不理想。为了解决上述问题并获得理想的水下图像编码方法,纸张开始促进波动性,促进了通过实际情况组合的自适应小波的提升方案。通过全面的比较,该算法可以充分利用自适应特性来达到保持图像边缘并减少小波系数而无需任何开销成本的目的。同时,算法采用预测之前更新的小波结构,以确保小波变换的稳定性。模拟MATLAB的成像声纳压缩。随着对比度和分析,该算法可以减少小波系数,并且还可以增加冷凝率,并确保稳定性。该算法在成像声纳具有一个值得。

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