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Self-adaptive real-time denoising scheme for 3D digital video image

A digital video, self-adaptive technology, applied in image communication, color TV components, TV system components, etc., can solve problems such as excessive calculation and storage, error accumulation, filtering error accumulation, etc. Calculation and storage, the effect of increasing comfort

Inactive Publication Date: 2011-11-09
BEIJING KEDI COMM TECH
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  • Abstract
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Problems solved by technology

On the one hand, this requires a large storage resource overhead, on the other hand, the noise reduction operation is too slow, so it is not suitable for real-time video image noise reduction
In addition, these filtering algorithms will cause the accumulation and amplification of errors in filtering, which will eventually affect the performance of the filtering algorithm
[0006] According to the above analysis, it can be seen how to use the information of 3D digital video images in the time domain and the space domain to skillfully combine the time domain noise reduction and the space domain noise reduction, avoid the problems caused by a single noise reduction method, and improve the existing The calculation and storage volume of 3D noise reduction is too large and the problem of error accumulation is the key to the design of 3D digital video image noise reduction scheme

Method used

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  • Self-adaptive real-time denoising scheme for 3D digital video image

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Embodiment Construction

[0030] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0031] figure 1 It is a flow chart of the adaptive real-time noise reduction scheme for 3D digital video images provided by the present invention. It can be clearly seen from the figure that the noise reduction solution provided by the present invention includes the following 11 steps, which are step 1-step 11 in sequence. The present embodiment will be further described according to each step below.

[0032] Step 1: Move the current frame into the previous frame, and re-read the current frame image to be denoised from the video image input

[0033] Step 2: Divide the current frame image into several sub-blocks, and use these sub-blocks to estimate the noise standard deviation of the current frame. Assuming that the siz...

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Abstract

The invention provides a self-adaptive real-time denoising scheme for a 3D digital video image, which is used for filtering and denoising a video image in a space domain two-dimensional mode and a time domain one-dimensional mode. The method comprises the following steps of: detecting the motion intensity of the video image, estimating a noise standard difference of the image and setting two different threshold value limits according to an estimation result of the noise standard difference; and adjusting parameters in time domain filtering in a self-adaptive mode according to a relation between the motion intensity and the limits and weighting a time domain filtering result and a space domain filtering result according to the relation in a self-adaptive mode to obtain a denoised output result. In the scheme, the computational load and memory space are small, the 3D digital video image can be denoised effectively in real time, borders and details of the image are protected, and the watching comfort of the 3D digital video image is enhanced greatly.

Description

technical field [0001] The present invention relates to the field of digital video image processing, and specifically relates to an adaptive real-time noise reduction scheme for 3D digital video images, which is mainly used in occasions where noise reduction is required in 3D digital video image processing, transmission, and display, especially where noise reduction is required. For real-time noise reduction. Background technique [0002] In recent years, 3D digital video images have been widely used in more and more fields, such as multimedia services, video telephony, video broadcasting, video tracking, and the like. In the acquisition, compression, transmission, and reception of 3D digital video images, noise is inevitably introduced. If these noises are not effectively filtered out, it will not only affect the visual effect of the video image, but also adversely affect the subsequent processing links (such as compression coding, etc.). Therefore, it is very necessary t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/213
Inventor 陈利明
Owner BEIJING KEDI COMM TECH
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