An adaptive picture noise suppression method

An image noise and self-adaptive technology, applied in image communication, color TV components, TV system components, etc., can solve problems such as blurred borders

Active Publication Date: 2005-09-14
HANGZHOU NATCHIP SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at problems such as space noise reduction will produce boundary blur and noise level measurement, the present invention provides a method for adaptively suppressing video image noise by using image edge information and image blanking period

Method used

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  • An adaptive picture noise suppression method
  • An adaptive picture noise suppression method
  • An adaptive picture noise suppression method

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Embodiment Construction

[0020] figure 1 A structural block diagram of the noise reduction method adopted in this embodiment is provided, which mainly includes five parts: Noise level estimation 101 is used to determine the noise level. Due to the difference in the channel and medium of video signal transmission, the performance of the receiver is also different, and the surrounding environment is different. These factors will make the magnitude of the noise different. Therefore, the noise level estimator provided in this embodiment can accurately determine the noise level, and according to the noise level, the filter coefficient can be reasonably determined to obtain an optimal filtering effect. 102 provides a group of optimized coefficients determined through experiments according to the noise level and edge judgment results. The edge calculator shown in 103 is used for calculating the edge of image, and its calculation process is by Figure 4 Be specific. The edge information calculated in 103 i...

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Abstract

This invention relates to a method for applying an adaptive method to suppress image noises including utilizing the inter-field recursive method to find out edges of the image and present diameter and direction of the edges by computing the brightness correlation of being selected pixel points, utilizing the image blanking period information to estimate the noise grade of the local field image, selecting related filter factors to filter to get the noise reduction result. This invention can apply filter factors with different strength to different pollutant degrees of images to get a more natural image result.

Description

technical field [0001] The invention is applied in the technical field of digital video processing, and in particular relates to a method for suppressing image noise by adopting an adaptive method. Background technique [0002] Noise may be introduced in the process of TV signal source generation, channel transmission and reception. The most common type of TV signal noise is additive Gaussian white noise, mainly in the process of channel transmission of composite TV signals from the transmitter to the user receiver. produce. There are many ways to reduce image noise, but the most widely used, easiest to implement, and most effective method is to low-pass filter the image. Low-pass filtering mainly uses the spatial correlation of the image to suppress random noise and Gaussian noise with poor correlation. [0003] Generally speaking, image noise reduction can be divided into two methods: intra-frame and inter-frame noise reduction. Intra-frame no...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/21H04N5/217
Inventor 陈涛遇岩叶丰张明
Owner HANGZHOU NATCHIP SCI & TECH
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