Multi-scale combined wavelet image denoising method

The invention discloses a multi-scale combined wavelet image denoising method, which comprises the following steps: S01, performing wavelet decomposition on an image to obtain low-frequency coefficients and high-frequency coefficients under different scales; S02, performing segmentation and classifi...

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Bibliographic Details
Main Authors LI CHEN, WANG PENGFEI, YU XUERU, WANG XIUCUI, ZHOU TAO
Format Patent
LanguageChinese
English
Published 18.10.2019
Subjects
CALCULATING
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:The invention discloses a multi-scale combined wavelet image denoising method, which comprises the following steps: S01, performing wavelet decomposition on an image to obtain low-frequency coefficients and high-frequency coefficients under different scales; S02, performing segmentation and classification combination on the high-frequency coefficient and the low-frequency coefficient to form a high-frequency matrix and a low-frequency matrix; S03, obtaining a high-frequency clustering matrix and a low-frequency clustering matrix through clustering; S04, obtaining a high-frequency sparse coefficient and a low-frequency sparse coefficient through sparseness; and S05, reconstructing the high-frequency coefficient and the low-frequency coefficient based on the sparse coefficient to obtain a denoised high-frequency coefficient and a denoised low-frequency coefficient, and performing wavelet inverse transformation on the denoised high-frequency coefficient and the denoised low-frequency coefficient to reconstruct a
Bibliography:Application Number: CN201910560473