Hewlett-Packard Co., Palo Alto, CA.
IEEE Trans Image Process. 1997;6(3):479-83. doi: 10.1109/83.557359.
Preprocessing of image and video sequences with spatial filtering techniques usually improves the image quality and compressibility. We present a block-based, nonlinear filtering algorithm based on singular value decomposition and compression-based filtering. Experiments show that the proposed filter preserves edge details and can significantly improve the compression performance.
基于奇异值分解和基于压缩的滤波的分块非线性滤波算法可用于图像和视频序列的预处理，通常可以提高图像质量和压缩比。实验表明，该滤波器可以保留边缘细节，并能显著提高压缩性能。
