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Denoising method and apparatus

A technology of noise reduction and equipment, applied in image data processing, TV, color TV and other directions, can solve the problem of image edge loss and other problems

Inactive Publication Date: 2006-01-18
SAMSUNG ELECTRONICS CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The Wiener filtering method based on wavelet transform is similar to the threshold method, because it uses the threshold to calculate the local variance, which can lead to the loss of the edge part of the image

Method used

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  • Denoising method and apparatus
  • Denoising method and apparatus
  • Denoising method and apparatus

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Embodiment approach

[0043] Now, embodiments of the present invention will be described in detail, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to like parts throughout. The embodiments are described below to explain the present invention by referring to the figures.

[0044] figure 1 is a flowchart of a noise reduction method according to an exemplary embodiment of the present invention. The denoising method is mainly divided into two steps, namely, a first denoising step, which is a denoising process performed before wavelet transform as preprocessing; and a second denoising step, which is a denoising process performed during wavelet transform. The first and second noise reduction steps of the noise reduction method will now be described in further detail.

[0045] In operation S110, when an image containing noise is received, a noise level of the image is obtained. The noise level represents the standard deviation of the noise containe...

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Abstract

A denoising method and apparatus, which denoise an image by using a combination of linear and non-linear wavelet thresholding methods, are provided. The denoising method includes (a) primarily denoising an input image in a spatial domain; and (b) dividing the input image into blocks by performing wavelet transform on the primarily denoised input image and then secondarily denoising the divided input image by applying different thresholds to the divided input image depending on the division level of the divided input image. Accordingly, it is possible to remove noise from an image while maintaining an image signal in a low frequency band by performing pre-treatment on the image in a spatial domain and applying different thresholding methods to blocks of the image depending on the division level of the image. In addition, it is possible to naturally render edge portions of the image.

Description

technical field [0001] The present invention relates to image noise reduction, and more particularly, the present invention relates to a noise reduction method and apparatus for image noise reduction by using a combination of linear and nonlinear wavelet thresholding methods. Background technique [0002] Various types of noise can be interpolated in an image, and most of them are white Gaussian noises. White Gaussian noise is noise distributed over almost all frequency bands of the spectrum. Recently, various denoising methods have been proposed for removing white Gaussian noise. [0003] One of various denoising methods is a denoising method based on wavelet transform. Wavelet transform, similar to Fourier transform, divides and transforms image signals into a set of basis functions. When an image is divided into multiple blocks by wavelet transform, these blocks have spatial components and frequency components, and have obvious differences from...

Claims

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Application Information

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IPC IPC(8): H04N5/21G06T5/00G06T5/10
CPCH04N5/21G06T5/001G06T5/20G06T2207/20016G06T5/10G06T5/002G06T2207/20064G06T5/70
Inventor 朴灿植
Owner SAMSUNG ELECTRONICS CO LTD