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Redundant Ridgelet Transform and Its Application to Image Processing

机译:冗余ridgelet变换及其在图像处理中的应用

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One of the problems encountered in image transmission is the cut-off or error of a bits chain at the moment of transmission. To protect the transmitted signal, it is necessary to couple quantized transform coding with a redundant transform. Ridgelet transform is a new directional resolution transform and it is more suitable for describing the signals with line or super-plane singularities. Finite ridgelet transform is a discrete orthonormal version of ridgelet transform proposed by Minh N.Do and Martin Vetterli. In this paper, we propose a new conception of redundant ridgelet transform, which we implement it mainly by controlling the ratio of the redundancy at the step of radon transform in the ridgelet transform. We first briefly introduce the concept of ridgelet transform. Then, we illustrate finite ridgelet transform and the new method. Finally, the main features of the redundant ridgelet transform and its applications for image coding and image analysis are discussed.
机译:在图像传输中遇到的问题之一是在传输时位链的截止或错误。为了保护发送的信号,必须以冗余变换耦合量化的变换编码。 Ridgelet变换是一种新的定向分辨率变换,更适合于描述具有线或超平面奇异性的信号。有限的ridgelet变换是Minh N.Do和Martin Vetterli提出的离散正交版本的ridgelet变换。在本文中,我们提出了一种新的冗余谜题变换的概念,我们主要通过控制Radon变换步骤中的冗余与Ridgely变换的比率来实现。我们首先简要介绍ridgele变换的概念。然后,我们说明了有限的ridgelet变换和新方法。最后,讨论了冗余脊形变换的主要特征及其用于图像编码和图像分析的应用。

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