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An 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 blur and achieve the effect of suppressing image noise

Active Publication Date: 2017-10-24
北京凤凰师轩文化发展有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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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  • An image denoising method and system based on edge tracking
  • An image denoising method and system based on edge tracking
  • An 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 present invention provides an image denoising method and system based on edge tracking, including step S1, obtaining multiple frames of continuous images; step S2, selecting a reference image in the continuous images, performing edge detection processing on the reference image, and obtaining several Edge; step S3, for each edge of the obtained reference image, search for a corresponding edge in each non-reference image; step S4, expand each edge of the reference image to form an edge area, for each edge area For the pixels, the original gray value is replaced by the median value of the gray values ​​of all corresponding pixels in the multiple frames of continuous images; step S5, performing denoising processing on the non-edge area of ​​the reference image. The image denoising method and system based on edge tracking of the present invention utilizes edge information of adjacent frame data to synthesize low-noise edges while suppressing image noise; effectively retains high-frequency detail information such as edges.

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 Patents(China)
IPC IPC(8): G06T5/00G06T5/20
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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