Fast Mode Decision for Multiview Video Coding Based on Just Noticeable Distortion Profile

Shang, Xiwu; Wang, Yongfang; Luo, Lidong; Zuo, Yifan; Zhang, Zhaoyang

doi:10.1007/s00034-014-9851-0

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…Traditional JND researches have shown that, due to the masking effect of the image [10][11][12], bitrate can be reduced without causing a subjective quality degradation when working within the JND range. This means that even if the asymmetric stereoscopic masking effect is not taken into account, as long as a larger QP is used to symmetrically encode the image in a certain range of JND, human eyes are still unable to observe the subjective quality changes of degraded reconstructed images.…”

Section: Comparison and Analysis Of Qp Threshold For Symmetric And Asmentioning

confidence: 99%

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A novel texture-based asymmetric visibility threshold model for stereoscopic video coding

Jiang

et al. 2018

J Image Video Proc.

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Asymmetric stereoscopic video coding is becoming increasingly popular, as it can reduce the bandwidth required for stereoscopic 3D delivery without degrading the visual quality. Based on the perceptual theory of binocular suppression, the left and right views of stereoscopic video are coded with different levels of quality. However, existing asymmetric perceptual coding approaches on stereoscopic video mainly focus on the threshold of whole image distortion. It is not so reasonable to use a single unified rather than adaptable perception threshold for a random natural stereoscopic image as the texture complexity typically varies in different blocks of image. In this paper, we generated an asymmetrically distorted stereoscopic image set with different texture densities and conducted a large number of subjective perceptual experiments. A strong correlation between the asymmetrical visibility threshold and texture complexity is revealed from the subjective experiments, and a texture-based asymmetrical visibility threshold model (TAVT) is established. Then, the model is extended to the hierarchical B picture (HBP) coding architecture and an asymmetric stereoscopic video coding method is proposed based on the TAVT model. Experimental results show that the proposed method can effectively reduce the unnecessary perceptual redundancy without visual quality degradation. Especially, it is more efficient for high bitrate configuration.

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Section: Comparison and Analysis Of Qp Threshold For Symmetric And Asmentioning

confidence: 99%

“…On the other hand, traditional two-dimensional (2D) image/video just noticeable distortion (JND) researches have shown masking effects of texture [10] and luminance [11] for human perception. Such researches have succeeded in characterizing effects of these factors on perceived thresholds using explicit JND models [12].…”

Section: Introductionmentioning

confidence: 99%

A novel texture-based asymmetric visibility threshold model for stereoscopic video coding

Jiang

et al. 2018

J Image Video Proc.

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“…In detail, JND models can be estimated in pixel domain or transform domain. In pixel domain, a JND model is often derived by investigating the luminance adaption (LA) and spatial contrast masking (CM) [24]. The JND models in transform domain usually utilize human vision sensitivities of different frequency components, and the contrast sensitivity function (CSF) is frequently applied in identifying the base thresholds [25].…”

Section: Introductionmentioning

confidence: 99%

Blind Photograph Watermarking with Robust Defocus-Based JND Model

Wang

et al. 2020

Wireless Communications and Mobile Computing

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Just noticeable distortion (JND) is widely employed to describe the perception redundancy in the quantization-based watermarking framework. However, the existing JND models are generally constructed to treat every region of the photograph with an equal focus level, whereas the defocus effect has never been considered. In this paper, the defocus feature, which can portray the aesthetic emphasis in the photograph, is provided to improve the perceptual JND model. Firstly, two indicators which consider the block energy in the defocus measurement (DM) are proposed. Then, the defocus feature map (DFM) is obtained by integrating the influence of the circumambient blocks, and it is applied to the proposed JND contrast masking (CM) processing. In this way, a new blind photograph watermarking method, with emphasis on defocus-JND estimation combined with the proposed CM, is presented. Simulations show that the proposed JND is more suitable for watermarking framework than some exiting JND models, and the proposed watermarking scheme with the improved defocus-based JND model has superior robustness compared with some watermarking schemes.

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Fast inter-frame prediction in multi-view video coding based on perceptual distortion threshold model

Jiang

Fang

et al. 2019

Signal Processing: Image Communication

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Fast Mode Decision for Multiview Video Coding Based on Just Noticeable Distortion Profile

Cited by 3 publications

References 16 publications

A novel texture-based asymmetric visibility threshold model for stereoscopic video coding

A novel texture-based asymmetric visibility threshold model for stereoscopic video coding

Blind Photograph Watermarking with Robust Defocus-Based JND Model

Fast inter-frame prediction in multi-view video coding based on perceptual distortion threshold model

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