Method, device and system of self-adaptive quantization and self-adaptive inverse quantization

An adaptive quantization and self-adaptive technology, applied in the field of communication, can solve the problems of large quantities of errors, and achieve the effect of improving quality and reducing quantization errors

Active Publication Date: 2010-05-26
HUAWEI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Under the condition of a given output bit number / depth sample point, if the existing technology is used to quantize the depth data of the image, when the quantization step size and quantization interval deviate greatly from the distribution characteristics of the input depth data, it will lead to a large quantization error

Method used

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  • Method, device and system of self-adaptive quantization and self-adaptive inverse quantization
  • Method, device and system of self-adaptive quantization and self-adaptive inverse quantization
  • Method, device and system of self-adaptive quantization and self-adaptive inverse quantization

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Embodiment 1

[0059] see figure 2 , the present embodiment provides a method for adaptive quantization, the method comprising:

[0060]101: Determine the effective depth subspace of the input depth data;

[0061] 102: Quantize the effective depth subspace.

[0062] see image 3 , the present embodiment provides a method for adaptive inverse quantization, the method comprising:

[0063] 201: Determine the effective depth subspace of the input depth data;

[0064] 202: Dequantize the effective depth subspace according to the received output depth data.

[0065] The method of adaptive quantization and adaptive dequantization provided in this embodiment, by determining the effective depth subspace of the input depth data, quantizes and dequantizes the effective depth subspace, and realizes automatic quantization according to the probability distribution characteristics of the input depth data. It adapts to quantization and dequantization, effectively reduces the quantization error, and im...

Embodiment 2

[0155] see Figure 14 , this embodiment provides an adaptive quantizer, the adaptive quantizer includes:

[0156] Effective depth subspace determination module 501, configured to determine the effective depth subspace of the input depth data;

[0157] The quantization module 502 is configured to quantize the effective depth subspace determined by the effective depth subspace determination module 501 .

[0158] further,

[0159] see Figure 15 , effective depth subspace determination module 501, including:

[0160] An output depth data acquisition unit 501a, configured to quantize the input depth data to obtain output depth data;

[0161] The statistical unit 501b is used to count the frequency of the preset quantized output value appearing in the output depth data obtained by the output depth data acquisition unit 501a. If the frequency is greater than the preset threshold, the quantized output value corresponding to the quantized interval The depth subspace of is the eff...

Embodiment 3

[0180] see Figure 19 , this embodiment provides an adaptive inverse quantizer, including:

[0181] Effective depth subspace determination module 601, configured to determine the effective depth subspace of the input depth data;

[0182] The inverse quantization module 602 is configured to perform inverse quantization on the effective depth subspace according to the received output depth data.

[0183] specifically,

[0184] see Figure 20 , the effective depth subspace determination module 601 includes:

[0185] The decoding unit 601a is configured to decode the received statistical histogram code stream or marked histogram code stream to obtain a statistical histogram or marked histogram;

[0186] The effective depth subspace determining unit 601b is configured to determine the effective depth subspace of the input depth data according to the statistical histogram or the marked histogram.

[0187] specifically,

[0188] see Figure 21 , the inverse quantization module...

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Abstract

The embodiment of the invention discloses a method, a device and a system of self-adaptive quantization and self-adaptive inverse quantization, belonging to the communication field. The self-adaptive quantization method comprises the following steps: determining an effective depth subspace of input depth data; and quantizing the effective depth subspace.The self-adaptive inverse quantization method comprises the following steps: determining an effective depth subspace inputting depth data; and inversely quantizing the effective depth subspace according to the received output depth data.The self-adaptive quantizer comprises an effective depth subspace determining module and a quantizing module.The self-adaptive inverse quantizer comprises an effective depth subspace determining module and an inverse quantizing module.The self-adaptive quantizing system comprises the self-adaptive quantizer and a transmitting module.The self-adaptive inverse quantizing system comprises a receiving module and the self-adaptive inverse quantizing module.The invention has the advantages of realizing self-adaptive quantizing and inverse quantizing according to the probability distribution characteristic of the input depth data, reducing quantizing error effectively and improving the quality of synthesized virtual images.

Description

technical field [0001] The invention relates to the communication field, in particular to a method, device and system for adaptive quantization and adaptive inverse quantization. Background technique [0002] In a traditional TV system, the user's point of view and angle of view are determined by the three-dimensional space position and direction of the camera, and the user cannot freely choose the point of view and angle of view to watch. The FTV (Free Viewpoint TeleVision, arbitrary viewpoint TV) system allows users to freely choose the viewpoint and angle of view to watch TV, and can provide a more vivid and real three-dimensional audio-visual system. [0003] In order to realize arbitrary viewpoint selection, in addition to video data, corresponding depth data must also be acquired. see figure 1 , the data generated by the sending end of the FTV system includes: video data captured by camera arrays located at multiple viewpoints, and the corresponding scene depth data;...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N13/00G06T7/00
CPCH04N7/26079H04N19/00769H04N19/124H04N19/597
Inventor 高山林四新杨海涛常义林刘晓仙
Owner HUAWEI TECH CO LTD
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