Distributed video coding-based adaptive correlation noise model construction system and method

A correlated noise and adaptive technology, applied in the field of video coding, can solve the problems affecting the accuracy of CNM, the rate-distortion performance of the system, and poor flexibility, so as to improve flexibility and accuracy, improve calculation accuracy, and overcome poor flexibility. Effect

Inactive Publication Date: 2013-01-23
XIDIAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

This model has the following disadvantages: first, since the decoder does not have the information of the original image, the model is obtained by completely using the estimated information of the decoder, so the accuracy is limited; second, because the importance and statistical characteristics of DCN and ACN are different , the model does not treat the two differently, but uses the same model; third, because the distribution of DCN is related to the motion of the image, the model adopts a fixed distribution to simulate the distribution of DCN, and fails to dynamically calculate the DCN according to the motion of the image. Adjustment, poor flexibility
These shortcomings all affect the accuracy of CNM, resulting in a decrease in the rate-distortion performance of the entire system.

Method used

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  • Distributed video coding-based adaptive correlation noise model construction system and method
  • Distributed video coding-based adaptive correlation noise model construction system and method
  • Distributed video coding-based adaptive correlation noise model construction system and method

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Embodiment 1

[0049] refer to figure 1 , the present invention is based on a distributed video coding adaptive correlation noise model construction system, including a residual processing module, the output of which provides information for establishing a correlation noise model, and the residual processing module of the present invention is a residual processing module assisted by original information processing module, and the existing technology is to directly use the estimated information of the decoder to construct the model without the assistance of the original information. The construction system of the present invention also includes: a DCN mean value calculation module, a judgment module and a model building module, wherein the DCN mean value calculation module sends the calculated mean value μ of the residual frame direct current DC coefficient, that is, the mean value of the DC coefficient with correlated noise DCN to The residual processing module and model building module ass...

Embodiment 2

[0057] Based on distributed video coding adaptive correlation noise model construction system is the same as embodiment 1, see figure 1 , the present invention specially designs a DCN average value calculation module and a residual processing module assisted by original information. The DCN average value calculation module includes an encoding end average value calculation unit ECU, a decoding end average value calculation unit DCU and an offset calculation unit BCU, wherein:

[0058] Mean value calculation unit ECU at the encoding end: used to calculate the mean value μ of the DC coefficient of the original Wyner-Ziv frame at the encoding end WZ, and μ WZ sent to the offset calculation unit at the decoding end;

[0059] Mean value calculation unit DCU at the decoding end: used to calculate the mean value μ of the DC coefficient of the side information SI frame at the decoding end SI , and μ SI Send to the offset calculation unit;

[0060] Offset Calculation Unit BCU: Usi...

Embodiment 3

[0068] see image 3 , the present invention is a method for constructing an adaptive correlated noise model based on distributed video coding, the applicable system is the same as that of Embodiment 1-2, and the construction method includes the following steps:

[0069] Step 1. Calculate the mean value μ of the DC coefficient of the residual frame, that is, the mean value of the DC coefficient with correlated noise DCN. The specific mean value calculation steps are as follows:

[0070] 5.1) The encoding end calculates the mean value μ of the DC coefficient band of the Wyner-Ziv frame WZ and sent to the decoder;

[0071] 5.2) The decoder calculates the mean value μ of the DC coefficient band of the SI frame SI ;

[0072] 5.3) The mean value μ of the DC coefficient band of the Wyner-Ziv frame transmitted from the encoder WZ and the mean value μ of the corresponding side information DC coefficient band SI Subtract to get the offset μ=μ of the correlated noise distribution mo...

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Abstract

The invention discloses a distributed video coding-based adaptive correlation noise model construction system and a distributed video coding-based adaptive correlation noise model construction method, which belong to the technical field of distributed video coding. The system comprises a DC coefficient tape correlation noise (DCN) mean value calculation module, an original information-assisted residual error processing module, a judgment module and a mode establishment module. A coder transmits a DC coefficient mean value of an original Wyner-Ziv frame to a decoder; and the decoder constructsmodels of a DC coefficient tape correlation noise area and an AC coefficient tape correlation noise area respectively, and dynamically regulates the models mainly by utilizing the positioning and parameter calculation of an original information assistance model provided by the coder in combination with the motion conditions of an image so as to realize adaptive model construction. By the system and the method, the main technical problems of low accuracy and low flexibility of the prior art are solved, the correlation noise model is more accurate on the basis of not increasing the coding complexity and a transmission code rate, and the rate-distortion performance of the whole system is improved; and the system and the method can be used for a distributed video communication system.

Description

technical field [0001] The invention belongs to the technical field of video coding, and mainly relates to a distributed video coding system and a correlation noise model construction system and method, in particular to a distributed video coding adaptive correlation noise model construction system and method, which can be used in a distributed video coding system . Background technique [0002] Traditional video coding standards such as MPEG-X and H.26X series mainly rely on the encoder to use the statistical characteristics of the encoded signal to achieve compression encoding, resulting in the computational complexity of the encoder being 5 to 10 times that of the decoder. In recent years, some new video applications, such as wireless video sensor network, mobile video phone and wireless video surveillance, etc. are rapidly integrating and changing people's lives. However, these emerging multimedia applications put forward different requirements for the video codec syste...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/26H04N7/46H04N7/50H04N7/64H04N19/147H04N19/89
Inventor 宋彬赵月刘海华杨明明
Owner XIDIAN UNIV
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