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A generalized class of fractal-wavelet transforms for image representation and compression

机译:一类广义的分形小波变换,用于图像表示和压缩

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The action of an affine fractal transform or (local) Iterated Function System with gray-level Maps (IFSM) on a function f(x) induces a simple mapping on its expansion coefficients, cij, in the Haar wavelet basis. This is the basis of the discrete fractal-wavelet transform, where subtrees of the wavelet coefficient tree are scaled and copied to lower subtrees. Such transforms, which we shall also refer to as IFS on wavelet coefficients (IFSW), were introduced into image processing with other (compactly supported) wavelet basis sets in an attempt to remove the blocking artifacts that plague standard IFS block- encoding algorithms.
机译:在函数f(x)上具有仿射分形变换或(局部)迭代函数系统(带有灰度图)(IFSM)的作用会在Haar小波基础上对其展开系数cij进行简单映射。这是离散分形-小波变换的基础,其中小波系数树的子树被缩放并复制到较低的子树。这种变换(我们也将其称为基于小波系数的IFS(IFSW))已与其他(紧凑支持的)小波基集一起引入到图像处理中,以尝试消除困扰标准IFS块编码算法的阻塞伪像。

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