首页> 外国专利> SUBBAND COEFFICIENT PREDICTION WITH PATTERN RECOGNITION TECHNIQUES

SUBBAND COEFFICIENT PREDICTION WITH PATTERN RECOGNITION TECHNIQUES

机译:模式识别技术的子带系数预测

摘要

The present invention provides a method and an apparatus for estimating the upper frequency band coefficients solely from low frequency information in a subband multiresolution decomposition. The HL subband coefficients (500) and the LH subband coefficients (502) are predicted from the LL coefficients (504). The predicted values of the HL subband coefficients (500) and LH subband coefficients (502) are then used to predict the HH subband coefficients (506). Within the prediction of each subband, an algorithm performs a separation step isolating significant coefficients and effectively neglecting insignificant coefficients. Significant coefficients have the sign and magnitude of their values estimated by a neural network. The process is carried out recursively over each level of a pyramidal decomposition.
机译:本发明提供一种仅在子带多分辨率分解中仅根据低频信息来估计较高频带系数的方法和装置。从LL系数(504)预测HL子带系数(500)和LH子带系数(502)。然后,将HL子带系数(500)和LH子带系数(502)的预测值用于预测HH子带系数(506)。在每个子带的预测范围内,算法执行分离步骤,以隔离有效系数并有效忽略无关紧要的系数。重要系数具有由神经网络估计的值的符号和大小。该过程在金字塔分解的每个级别上递归执行。

著录项

  • 公开/公告号WO0197528A2

    专利类型

  • 公开/公告日2001-12-20

    原文格式PDF

  • 申请/专利权人 HRL LABORATORIES LLC;DANIELL CINDY;

    申请/专利号WO2001US14891

  • 发明设计人 DANIELL CINDY;

    申请日2001-05-08

  • 分类号H04N7/26;

  • 国家 WO

  • 入库时间 2022-08-22 00:38:04

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