Maximal posterior probability decoding and 3D block matching filtering based video de-noising method

A maximum a posteriori probability and matched filtering technology, applied in the field of video transmission, can solve problems such as image blur, achieve good details, high peak signal-to-noise ratio, and improve accuracy.

Inactive Publication Date: 2018-07-06
TONGJI UNIV
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Problems solved by technology

But the disadvantage is also very obvious, it will cause the blur of the image

Method used

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  • Maximal posterior probability decoding and 3D block matching filtering based video de-noising method
  • Maximal posterior probability decoding and 3D block matching filtering based video de-noising method
  • Maximal posterior probability decoding and 3D block matching filtering based video de-noising method

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Embodiment 1

[0067] The present invention proposes a joint denoising method based on maximum a posteriori probability decoding and three-dimensional block matching (BM3D) algorithm, spatially models the received signal at the receiving end, obtains the relationship between the expected signal and noise, and then uses maximum a posteriori decoding code to eliminate the noise with the highest probability. The core of the BM3D algorithm is empirical Wiener filtering, which uses the basic estimated value of the original image obtained in the basic estimation to perform Wiener filtering, which greatly improves the accuracy of the algorithm and plays the role of smoothing filter. After the signal is decoded by the maximum a posteriori probability and filtered by the BM3D algorithm at the receiving end, not only can a higher peak signal-to-noise ratio be obtained, but also a better visual experience can be obtained subjectively, and the details of the video image can be better preserved .

[006...

Embodiment 2

[0170] 1. Simulation scene setting:

[0171] The simulation experiment test sequence of this method is "Carphone", such as Figure 6 As shown, using "Carphone" of 10 th The frame is a reference frame, that is, the reference frame is stored in both the memory of the sending end and the receiving end of the system. Transmit video frames as 180 of the "Carphone" sequence th frame, such as Figure 5 shown. All reference video frames and transmission video frames are equally divided into 8×8 pixel blocks at the sending end, therefore, the number of reference pixel blocks for each transmission video sequence is 22×18=396, and the set of related pixel blocks is

[0172] In the entire simulation experiment, the transmitted signal is transmitted through a Gaussian channel, and at the receiving end, the signal is decoded by maximum a posteriori probability and jointly denoised by BM3D.

[0173] 2. Simulation result analysis:

[0174] In terms of visual quality, the method of joi...

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Abstract

The invention relates to maximal posterior probability decoding and 3D block matching filtering based video de-noising method. A video is received and obtained via a prior knowledge enhanced mobile video broadcast transmission system. The de-noising method comprises the following steps that S1) a received video signal is converted into an estimated mathematical relation of the minimum mean squarederror of noise and the video signal via a space vector threshold, a maximal posterior probability decoding method is used to obtain an estimated value of the video signal, and the video signal from which part of Gaussian noise is removed is obtained; and S2) 3D block matching filtering is carried out on the video signal obtained in the step S1 to eliminate Gaussian noise further, and a final de-noised video is obtained. Compared with the prior art, the peak signal to noise ratio is higher, a better visual experience can be obtained subjectively, detail part of the video image can be remainedin a battery way, and smooth filtering is realized.

Description

technical field [0001] The invention relates to a video transmission technology, in particular to a video denoising method based on maximum a posteriori probability decoding and three-dimensional block matching filtering. Background technique [0002] The elimination of noise interference has always been the focus of attention in video transmission. No matter whether voice or video signals are transmitted in wireless networks, they are inevitably affected by noise interference. How to effectively reduce noise interference has always been a problem that experts from all walks of life are working hard to solve. In traditional digital video transmission systems, error correction coding is usually used to reduce the bit error rate, but this method also brings various problems. [0003] Simple denoising algorithms can be roughly divided into two categories: spatial domain filtering and frequency domain filtering. The complex denoising algorithm is basically a different combinat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/002G06T5/10G06T2207/10016G06T2207/20021G06T2207/20024G06T2207/20048G06T2207/20182
Inventor 黄新林唐小伟郇小宁袁迎春陆奇翡吴俊
Owner TONGJI UNIV
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