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Subpixel interpolation method, system, computer device and medium

An interpolation method and pixel division technology, which is applied in the field of video coding and can solve the problems of cumbersome and limited performance.

Active Publication Date: 2021-06-15
PEKING UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing methods have not yet applied the deep neural network to all sub-pixel interpolation, and the performance is still relatively limited.
And some methods need to train a model for each sub-pixel interpolation, which is cumbersome

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  • Subpixel interpolation method, system, computer device and medium
  • Subpixel interpolation method, system, computer device and medium
  • Subpixel interpolation method, system, computer device and medium

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specific Embodiment

[0105] Concrete example: Assume that has been constructed such as Figure 7 The convolutional neural network model in , and there are N training images {I 1 ,I 2 ,...,I N} As the training data, train the 1 / 4 precision and 1 / 2 precision sub-pixel block interpolation network.

[0106] The training process is as follows:

[0107] Step 1, the training set {I 1 ,I 2 ,...,I N} for each image in Figure 8 The training data shown is generated. For the generation of integer pixel blocks, first, the preliminary integer pixel blocks are obtained by down-sampling every other point, and then encoded by the encoder to obtain the result of encoding and reconstruction For the generation of sub-pixel blocks, firstly, the picture is Gaussian blurred with a standard deviation value of a random number in the interval [0.7,0.8] (when generating 1 / 2 sub-pixel blocks, the standard deviation value is in the interval of 0.5 to 0.6). Then sample the blurred image at intervals to obtain 1 / 4 pi...

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Abstract

The invention provides a sub-pixel interpolation method, system, computer equipment and medium. Among them, a sub-pixel interpolation method includes: processing each original image in the training set to obtain an integer pixel block and a sub-pixel block; propagating the entire pixel block forward to a convolutional neural network to obtain the sub-pixel block Predicted value; calculate the predicted value of the sub-pixel block and the mean square error of the sub-pixel block; backpropagate the mean square error to the convolutional neural network to update the weights of each layer of the convolutional neural network, and iterate until the convolutional neural network converges , to obtain the sub-pixel interpolation network. Through the technical solution of the present invention, it is realized that reference blocks belonging to different sub-pixel bits can be interpolated through a single network, and the performance of video compression is improved.

Description

technical field [0001] The present invention relates to the technical field of video coding, in particular to a sub-pixel interpolation method, a sub-pixel interpolation system, a computer device and a computer-readable storage medium. Background technique [0002] In the process of using and disseminating digital video, video codec is an indispensable key technology. Video codec technology greatly reduces the overhead of digital video storage and transmission by encoding and compressing video at the encoding end and decoding and restoring it at the decoding end, enabling the use of digital video in daily life. Among them, motion compensation is a key method for video coding and decoding technology to use inter-frame redundant information to improve video compression rate. [0003] In the process of motion compensation, the encoder searches the encoded video frame for an encoded reference block that is similar to the current block of the video frame to be encoded. Based on ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/523H04N19/59
CPCH04N19/523H04N19/59
Inventor 刘家瑛夏思烽杨文瀚胡越予郭宗明
Owner PEKING UNIV