Method for Constructing Correlated Noise Model of Distributed Video Coding Based on Multiple Probability Distributions
A distributed video and probability distribution technology, applied in digital video signal modification, electrical components, image communication, etc., can solve the problem of low model accuracy
Active Publication Date: 2016-11-30
RUNJIAN COMM
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[0007] The purpose of the present invention is to overcome the shortcomings of the existing correlation noise model construction method that fails to accurately describe the distribution of each sub-band with a suitable probability distribution, resulting in low model accuracy, and provides a correlation noise model based on multiple probability distributions Construct method to obtain higher modeling accuracy, thereby improving the performance of distributed codec system
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[0055] In order to make the purpose, technical method and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings and examples.
[0056] In the following embodiments, only one correlated noise frame is taken as an example to describe the method for constructing a correlated noise model based on multiple probability distributions in the present invention. Assume the resolution of the correlated noise frame is 176×144. Such as figure 1 As shown, the method includes the following steps:
[0057] Step 100: Perform DCT transformation with a block size of 8×8 on the input correlated noise frame.
[0058] Step 101: extract the coefficients of each corresponding subband after transformation, and obtain 64 subbands . Among them, each
[0059] The number of coefficients of sub-bands is: 176×144 / (8×8)=396.
[0060] Step 102: set m=1, sequentially extract 396 coefficients of the firs...
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The invention discloses a method for constructing a correlated noise model of distributed video coding based on multi-probability distribution, which includes The DCT transformation of 64 sub-bands is obtained; the probability distribution of each sub-band is calculated, and the corresponding entropy is calculated through the probability distribution; the probability density of each sub-band in the three distributions of Cauchy, Laplace and Gaussian is calculated, and Calculate the entropy of the sub-band under the above three distributions; finally compare the absolute value of the entropy of each sub-band with the difference between the entropy of the sub-band under the three distributions of Cauchy, Laplace and Gaussian, and choose the absolute value The probability distribution with the smallest value is used to model this subband. Adopting the method of the present invention can overcome the disadvantage that the existing correlation noise model construction method fails to accurately describe the distribution of each sub-band with a suitable probability distribution, and obtain higher modeling accuracy, thereby improving the efficiency of the distributed encoding and decoding system. distortion performance.
Description
technical field [0001] The invention relates to distributed video coding technology, in particular to a method for constructing a correlation noise model in distributed video coding. Background technique [0002] Compared with traditional video coding standards such as MPEG-X and H.26X, Distributed Video Coding (DVC) has successfully transferred the computational complexity of the encoding end to the decoding end. It has the characteristics of simple encoding and complex decoding, and is very suitable for mobile video Wireless terminals with limited computing power and power consumption at the coding end, such as telephones, wireless video surveillance, and wireless video sensor networks. In DVC, correlated noise is defined as the difference between the original Wyner-Ziv (WZ) frame and the side information (SI) frame. In order to effectively use the check bit information sent by the encoder to correct side information errors, the distributed video decoder needs to use corr...
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IPC IPC(8): H04N19/147H04N19/189H04N19/625
Inventor 唐振华梁祥严覃团发常侃
Owner RUNJIAN COMM