Depth video coding method on basis of foveal JND (just noticeable distortion) model

A depth video and distortion model technology, applied in image communication, electrical components, stereo system, etc., can solve problems such as not being able to apply MVD compression well, not considering the impact of rendering video quality and resolution, etc.

Inactive Publication Date: 2012-10-10
NINGBO UNIV
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Problems solved by technology

The FJND model makes full use of the perceptual redundancy in video and improves the efficiency of video compression. However, the JND model and FJND model established above are aimed at flat images or single-channel v

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  • Depth video coding method on basis of foveal JND (just noticeable distortion) model
  • Depth video coding method on basis of foveal JND (just noticeable distortion) model
  • Depth video coding method on basis of foveal JND (just noticeable distortion) model

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Embodiment Construction

[0086] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0087] Since multi-viewpoint video signals are finally perceived by human eyes, in order to effectively save depth video coding bit rate on the premise of maintaining the visual perception quality of virtual viewpoints, the present invention proposes a depth detection method based on a fovea just perceivable distortion model. A video coding method, which uses the relationship between depth video distortion and rendering viewpoint geometric distortion, based on the existing Foveated Just Noticeable Distortion (FJND) model, from the perspective of virtual viewpoint rendering quality. MVD encoding to reduce the encoding bit rate of depth video.

[0088] A kind of depth video coding method based on the fovea just perceivable distortion model of the present invention, it comprises the following steps:

[0089] ① Denote the left view video of the d...

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Abstract

The invention discloses a depth video coding method on the basis of a foveal JND (just noticeable distortion) model. The depth video coding method comprises the following steps of: firstly, calculating the global JND of each pixel in each frame in a middle virtual viewpoint video obtained by carrying out middle virtual viewpoint rendering on color videos at left and right viewpoints and depth videos at left and right viewpoints; then, according to the global JND, obtaining a middle virtual viewpoint video subjected to geometrical offset; according to the geometrical offset, obtaining the maximum tolerable distortion video of the depth video at the left viewpoint; and finally, obtaining increasable coded quantization parameters of each macro block in each frame of the depth video at the left viewpoint according to the maximum tolerable distortion video. According to the method disclosed by the utility model, on the premise of maintaining the visual perception quality of virtual viewpoints, the encoding rate of the depth videos is effectively saved, the compressed coding efficiency of a depth video sequence is also greatly improved, and code streams can be saved by 11.00% to 23.34%.

Description

technical field [0001] The invention relates to a video signal processing method, in particular to a depth video encoding method based on a central fovea just perceptible distortion model. Background technique [0002] Currently, 3DTV and FTV widely use Multi-view Video plus Depth (MVD) for scene description. MVD includes the color and corresponding depth information of multiple viewpoints, and draws virtual viewpoints on the display after encoding, transmission, and decoding. In MVD, although the coding of multi-viewpoint color video has been extensively studied, among which the more applicable coding platforms are JMVM (Joint Multiview Video Model) and JMVC (Joint Multiview Video Coding), but the research on depth video coding is less. Depth video represents the relative distance from the camera to objects in 3D space, and is widely used in the fields of computer vision and computer imaging to describe 3D information. In addition, it is worth noting that the depth video ...

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Application Information

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IPC IPC(8): H04N13/00H04N15/00
Inventor 蒋刚毅朱亚培王晓东郁梅朱高锋邵枫彭宗举
Owner NINGBO UNIV
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