Adaptive polyphase subband decomposition structures for image compression
Adaptive polyphase subband decomposition structures for image compression
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DOI：
10.1109/83.869176
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发表时间：
2000-10
期刊：
影响因子：
--
通讯作者：
Ö. N. Gerek;A. Cetin
中科院分区：
文献类型：
--
作者：
Ö. N. Gerek;A. Cetin
子带分解技术已广泛用于数据编码和分析。在大多数滤波器组中，目标是获得对应于原始数据的不同频谱区域的二次采样信号。然而，这种方法导致具有空间变化特性的图像中的各种伪像，诸如包含文本、字幕或尖锐边缘的图像。本文针对这类图像提出了具有良好重构特性的自适应滤波器组。可以是线性或非线性的分解结构的滤波器根据信号的性质而变化。这导致改进的图像压缩比。给出了仿真实例。
Subband decomposition techniques have been extensively used for data coding and analysis. In most filter banks, the goal is to obtain subsampled signals corresponding to different spectral regions of the original data. However, this approach leads to various artifacts in images having spatially varying characteristics, such as images containing text, subtitles, or sharp edges. In this paper, adaptive filter banks with perfect reconstruction property are presented for such images. The filters of the decomposition structure which can be either linear or nonlinear vary according to the nature of the signal. This leads to improved image compression ratios. Simulation examples are presented.