Experimental Comparison of PSNR and SSIM Metrics for Video Quality Estimation

Kotevski, Zoran; Mitrevski, Pece

doi:10.1007/978-3-642-10781-8_37

Cited by 28 publications

(17 citation statements)

References 4 publications

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“…SSIM allows us to determine how similar a frame generated by Kahawai is to the highest quality version of that frame. Unlike other image quality metrics like peak signal-to-noise ratio (PSNR) and mean-squared error (MSE), SSIM was designed to model the human eye's perception [23]. A raw SSIM score of greater than 0.9 indicates a strong level of similarity between two images, matching a PSNR of above 50 according to Hore [1].…”

Section: Methodsmentioning

confidence: 99%

Kahawai

Cuervo

Wolman

Cox

et al. 2015

Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services

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This paper presents Kahawai 1 , a system that provides high-quality gaming on mobile devices, such as tablets and smartphones, by offloading a portion of the GPU computation to server-side infrastructure. In contrast with previous thin-client approaches that require a server-side GPU to render the entire content, Kahawai uses collaborative rendering to combine the output of a mobile GPU and a server-side GPU into the displayed output. Compared to a thin client, collaborative rendering requires significantly less network bandwidth between the mobile device and the server to achieve the same visual quality and, unlike a thin client, collaborative rendering supports disconnected operation, allowing a user to play offline -albeit with reduced visual quality.Kahawai implements two separate techniques for collaborative rendering: (1) a mobile device can render each frame with reduced detail while a server sends a stream of per-frame differences to transform each frame into a high detail version, or (2) a mobile device can render a subset of the frames while a server provides the missing frames. Both techniques are compatible with the hardwareaccelerated H.264 video decoders found on most modern mobile devices. We implemented a Kahawai prototype and integrated it with the idTech 4 open-source game engine, an advanced engine used by many commercial games. In our evaluation, we show that Kahawai can deliver gameplay at an acceptable frame rate, and achieve high visual quality using as little as one-sixth of the bandwidth of the conventional thin-client approach. Furthermore, a 50-person user study with our prototype shows that Kahawai can deliver the same gaming experience as a thin client under excellent network conditions.

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Section: Methodsmentioning

confidence: 99%

Kahawai

Cuervo

Wolman

Cox

et al. 2015

Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services

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show abstract

“…Not only the classical objective quality evaluation metric PSNR but also structural similarity index measurement (SSIM) is used to evaluate video quality in this paper. Compared with PSNR, SSIM is found to be a better indicator of perceived image quality than mean-squared error which is the theoretical basis of PSNR [28,29]. PSNR and SSIM value of six reconstructed video sequences with different QP are shown in Table 13.…”

Section: Rd Performance Evaluation Of Objective Qualitymentioning

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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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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“…As is illustrated in Section 3.1.2, SSIM is considered an efficient tool to measure image difference from a human visual perspective [59] and our research objective is to apply our method to post-editing, where the quality is mainly evaluated through human eyes; on the other hand, although studies have shown that SSIM is more referable than PSNR in perception and saliency-based errors, it shows less sensitivity to brightness and contrast change [60], which might be an significant factor in the accuracy of a disparity map, thus, we added PSNR as an assistive tool to help examining the overall performance of our method.…”

Section: Quantitative Resultsmentioning

confidence: 99%

“…On the other hand, since SSIM is less sensitive to the changes in brightness and contrast [60], which might be important factors that reflect the quality of a disparity map, we adopted PSNR as an assistive metric in the disparity accuracy part to ensure the reliability of our evaluation result.…”

Section: Evaluation Metricsmentioning

confidence: 99%

See 1 more Smart Citation

Perceiver – A Five-view Stereo System for High-quality Disparity Generation and its Application in Video Post-Production

Zhu¹

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Experimental Comparison of PSNR and SSIM Metrics for Video Quality Estimation

Cited by 28 publications

References 4 publications

Kahawai

Kahawai

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

Perceiver – A Five-view Stereo System for High-quality Disparity Generation and its Application in Video Post-Production

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