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Image denoising method

An image and input image technology, applied in the field of variational partial differential image denoising, can solve the problems of fast diffusion and slow diffusion, and achieve the effect of removing image noise, overcoming block effect, and enhancing detailed information.

Inactive Publication Date: 2010-08-18
TSINGHUA UNIV
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Problems solved by technology

In order to preserve the edge while removing noise, this type of PDE model is usually designed to diffuse fast in the smooth region and slow in the edge

Method used

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Embodiment Construction

[0029] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0030] The image denoising method according to the present invention will be described below with reference to the accompanying drawings. Such as figure 1 As shown, the method may include the following steps:

[0031] A1: Design functional E(u).

[0032] In this embodiment, for a digital image, u(x, y) represents the gray value of the pixel at the coordinate position (x, y) within the image support domain Ω.

[0033] Represents the gradient field of the image u(x, y), that is, the contrast field:

[0034] ▿ u ...

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Abstract

The invention provides an image denoising method, which comprises the following steps: designing a functional E (u); obtaining a corresponding Euler equation according to the functional E (u); deducing and solving a discrete mathematical model according to the Euler equation, wherein the discrete mathematical model is used for smoothening an image and strengthening detained information; inputting an image u0; carrying out iterative denoising for the input image u0 through the discrete mathematical model, thereby obtaining a denoised image u (i, j); removing spots on the denoised image u (i, j); and outputting an image which spots are removed. The image denoising method provided by the invention overcomes the 'block effect' introduced in the denoising method based on the second-order partial differential equation, and not only denoise the image, but also increases the contrast, thereby maintaining the detailed information of the texture and making the visual effect of the image more vivid and natural.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an object-oriented variational partial differential image denoising method. Background technique [0002] Image denoising and enhancement is an important research content of digital image processing. At present, the most popular image processing theory mainly includes the following three categories: stochastic modeling, wavelet theory and partial differential equation method ( Partial-differential-equation / PDE). [0003] Among them, PDE appeared in the late 1980s. Because of its good mathematical theory support, it has made great progress in the 1990s. It is an important part of mathematical analysis and is closely related to the physical world. The earliest application of the PDE method is the heat conduction equation in isotropic media. If the grayscale image is regarded as a temperature field in an isotropic medium, then the heat conduction process of this temperatur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 戴琼海王瑜
Owner TSINGHUA UNIV
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