Initial method for image independent component analysis

A technology of independent component analysis and initialization method, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of reducing the convergence speed of the algorithm, reducing the separation accuracy of the algorithm, affecting the real-time performance of the algorithm, etc., to improve the convergence speed, The effect of improving separation accuracy and accelerating algorithm convergence
CN1932849AInactive Publication Date: 2007-03-21SHANGHAI UNIV
0 Cites 5 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI UNIV
Publication Date
2007-03-21
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

An initialization method for image independent component analysis, it is: processes wavelet sparse decomposition for the receiving mixed signal; selects the decomposed coefficient group with the best sparseness, seeks the gather-axis to estimate the mixed matrix by the clustering method in the star-chart; processes initialization to the FastICA arithmetic by the estimating value of the mixed matrix, in order to avoid the minimum partly when the independent component analysis method, expedites the arithmetic constringency, simultaneously improves the separation precision of the independent component analysis method, gets the perfect image separating effect. The invention is fit for the radio-communication system, the sonar and radar system, the audio and acoustics signal process of the military field and non- military field.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to an image noise reduction method, in particular to an initialization method for image independent component analysis. It has important application potential in image signal processing in military or non-military fields. Background technique

[0002] Usually, the image will be polluted by other signals during its acquisition or transmission process, and it is necessary to carry out separation processing for subsequent further processing. The purpose of image separation is to extract the individual signal components in the received signal as much as possible to improve the quality of the image. At present, image noise reduction methods are mainly divided into traditional filtering methods and blind source separation methods, among which blind source separation methods are the most representative.

[0003] The blind source separation method is to separate these mutually independent source signals only through the received mixed s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More