Image denoising method and system based on edge tracking

An edge tracking and reference image technology, applied in the field of image denoising, can solve problems such as edge blurring, and achieve the effect of suppressing image noise

Active Publication Date: 2015-11-18
北京凤凰师轩文化发展有限公司
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  • Abstract
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  • Claims
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Problems solved by technology

[0006] 2) Multiplicative noise
[0011] However, the denoising algorithm based on the spatial domain usually smoothes the edge details of the image, resulting in blurred edges; the denoising algorithm based on the transform domain will introduce additional image information

Method used

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  • Image denoising method and system based on edge tracking
  • Image denoising method and system based on edge tracking
  • Image denoising method and system based on edge tracking

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Embodiment Construction

[0046] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0047] It should be noted that the diagrams provided in this embodiment are only schematically illustrating the basic idea of ​​the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the components in actual implementation. Dimensional drawing, the type, quantity and proportion of each component can be changed arbitrarily during actual impleme...

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Abstract

The invention provides an image denoising method and system based on edge tracking. The method comprises the following steps: S1, obtaining multi-frame continuous images; S2, selecting one reference image from the continuous images, and performing edge detection processing on the reference image to obtain a plurality of edges; S3, for each obtained edge of the reference image, searching for a corresponding edge in each non-reference image; S4, expanding each edge of the reference image to form an edge area, and for each pixel point in the edge area, replacing an original gray scale value by use of a median of the gray scale values of all the corresponding pixel points in the multi-frame continuous images; and S5, carrying out denoising processing on a non-edge area of the reference image. According to the image denoising method and system based on the edge tracking, low-noise edges are synthesized by use of edge information of adjacent frame data while image noise is inhibited; and high-frequency detail information of the edges and the like is effectively reserved.

Description

technical field [0001] The invention relates to an image denoising method and system, in particular to an image denoising method and system based on edge tracking. Background technique [0002] In the prior art, digital images are often affected by imaging equipment and external environmental noise interference during digitization and transmission, and are called noisy images or noisy images. The process of reducing noise in digital images is called image denoising. [0003] Noise is an important cause of image interference. Various noises may exist in an image in practical applications, and these noises may be generated during transmission or quantization and other processing. According to the relationship between noise and signal, it can be divided into the following three forms: where (f(x, y) represents a given original image, g(x, y) represents an image signal, and n(x, y) represents noise. [0004] 1) Additive noise [0005] This type of noise has nothing to do wi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/20G06T7/00
Inventor 喻海中张玲
Owner 北京凤凰师轩文化发展有限公司
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