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Picture reinforcing treatment system and treatment method

A technology of image enhancement and processing system, which is applied in the field of image enhancement processing system and processing, and can solve the problems of magnification and no fuzzy logic.

Active Publication Date: 2007-06-13
逐点半导体(上海)有限公司
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AI Technical Summary

Problems solved by technology

The first denoising process loses edge information and the second sharpening edge process amplifies the noise, so this method cannot optimize denoising and image enhancement at the same time
[0004] There is also a parallel structure for noise reduction and edge enhancement, but only horizontal and vertical directions are used to enhance the edge; only after simple addition processing, there is no flexible fuzzy logic to control the interaction between modules and modules

Method used

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  • Picture reinforcing treatment system and treatment method
  • Picture reinforcing treatment system and treatment method
  • Picture reinforcing treatment system and treatment method

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Embodiment Construction

[0064] The invention utilizes multi-scale edge analysis to perform self-adaptive noise reduction processing and image edge enhancement processing under the control of fuzzy logic.

[0065] As shown in Figure 1, it is a schematic structural diagram of an image enhancement processing system of the present invention, including an image buffer 1, a denoising processor 2 connected to the image buffer 1, an edge enhancement processor 3 and a multi-scale image analyzer 4, and Including fuzzy logic controller 5, connected with denoising processor 2, edge enhancement processor 3 and multi-scale image analyzer 4, and synthesizer 6, connected with image buffer 1, denoising processor 2, edge enhancement processor 3 and the fuzzy logic controller 5 are connected.

[0066] The functions of each device are as follows:

[0067] Image buffer 1, used to store original image data;

[0068] Denoising processor 2, used for calculating the denoised signal according to the variance of the noise; ...

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Abstract

The system includes following parts: image buffer; image analyzer in multiple scales connected to the image buffer; fuzzy logic controller (FLC) connected to the image analyzer in multiple scales; edge enhancement processor connected to image buffer and FLC; noise remover connected to connected to image buffer and FLC; synthesizer connected to image buffer, noise remover, edge enhancement processor, and FLC. The method includes following steps: based on fetched original image data to obtain edge information of original image; based on edge information of original image to obtain variance of gain and noise of original image; based on calculated data of edge enhanced image and noise removed image to obtain final processed data. Using edge analysis in multiple scales, under control of fuzzy logic, the invention realizes self-adaptive noise reduction process and edge enhancement process for images.

Description

technical field [0001] The invention relates to an image processing system and processing method, in particular to an image enhancement processing system and processing method using fuzzy logic to adaptively control denoising and edge enhancement. Background technique [0002] In video signal processing, denoising processing and edge enhancement processing are required. Usually, a low-pass filter of a certain frequency band is used for noise reduction. In most cases, these frequency bands still contain useful information, so after denoising processing, a lot of edge detail information will be lost. In the case of image compression processing and limited video signal bandwidth, the edge information of the image will also be lost. The sharpening of the image edge requires the use of a high-pass filter to compensate for the loss of the image edge. Noise reduction requires the reduction of high-frequency components in the signal, while edge enhancement requires the increase of...

Claims

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Application Information

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IPC IPC(8): H04N5/14H04N5/21G06T5/00
Inventor 王洪剑
Owner 逐点半导体(上海)有限公司
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