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Coefficient Partitioning Scanning Order Wavelet Packet Algorithm for Satellite Images

机译:卫星图像系数划分扫描阶小波包算法

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A new embedded wavelet packet image coder algorithm is proposed for an effective image coder using correlation between partitioned coefficients. The new algorithm presents parent-child relationship for reducing image reconstruction error using a coefficient partitioning scanning order (CPSO). It is shown that the new algorithm achieves low bit rates and rate-distortion. It also demonstrates higher PSNR under the same bit rate. These results show that the encoding and decoding processes of the proposed coder are more accurate than SPIHT for texture images that include many high-frequency elements such as satellite photograph images. The experimental results imply the possibility that the proposed method can be applied to on-line image processing which require smaller file size and better resolution.
机译:提出了一种新的嵌入式小波包图像编码器算法,该算法利用分区系数之间的相关性来实现有效的图像编码器。该新算法使用系数分区扫描顺序(CPSO)提出了减少图像重建错误的父子关系。结果表明,新算法实现了较低的比特率和速率失真。它还证明了在相同比特率下更高的PSNR。这些结果表明,对于包含许多高频元素(例如卫星照片图像)的纹理图像,所提出的编码器的编码和解码过程比SPIHT更为精确。实验结果表明,该方法可以应用于文件尺寸较小,分辨率较高的在线图像处理中。

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