Results 201 to 210 of about 47,227 (224)

SSIM Based Signature of Facial Micro-Expressions

2020
Facial microexpressions (MEs) play a crucial role in the non verbal communication. Their automatic detection and recognition on a real video is a topic of great interest in different fields. However, the main difficulty in automatically capturing this kind of feature consists in its rapid temporal evolution, i.e.
Vittoria Bruni, Domenico Vitulano
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Modification of SSIM Metrics

2014
Objective methods and metrics for assessing image quality are more convenient, less expensive and time-consuming than subjective methods. There are a number of reference objective metrics that provide a good correlation with perceived image quality, such as SSIM, MS-SSIM, CW-SSIM, IW-SSIM, but they are slow and have sufficient computational complexity.
Alexander Osokin, Dmitry Sidorov
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SSIM-based adaptive quantization in HEVC

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
HEVC is an emerging video coding standard that can achieve significant compression gains compared to H.264/AVC due to the inclusion of numerous new coding tools. In particular, it allows for a flexible quadtree based block partitioning of each coding tree unit (CTU) and an ability to switch quantization parameters (QP) on a sub-CTU level. In this paper,
Chuohao Yeo, Hui Li Tan, Yih Han Tan
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SSIM performance limitation of linear equalizers

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
ABSTRACT The performancelimitation of linear equalizers is studied forthe structural similarity (SSIM) criteria. Given a blurring fil-ter and an image with zero mean, the closed form formula isobtained to compute the maximal SSIM index and the corre-spondingoptimallinearequalizer.
Li Chai, Yuxia Sheng, Jingxin Zhang
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Window size influence on SSIM fidelity

7'th International Symposium on Telecommunications (IST'2014), 2014
It has been claimed that to calculate local Structural Similarity (SSIM) index, it is better to employ an 11×11 Gaussian window (called standard SSIM index). In this paper, this claim will be evaluated and shown that contrary to popular belief, not only the standard SSIM index is not always well correlated to the MOS scores but also in some distortion ...
Hossein Bakhshi Golestani, Mohammad Ghanbari   +1 more
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SSIM 2022 Cover Page

2022 2nd International Conference on Social Sciences and Intelligence Management (SSIM), 2022
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Image Quality Metrics: PSNR vs. SSIM

2010 20th International Conference on Pattern Recognition, 2010
In this paper, we analyse two well-known objective image quality metrics, the peak-signal-to-noise ratio (PSNR) as well as the structural similarity index measure (SSIM), and we derive a simple mathematical relationship between them which works for various kinds of image degradations such as Gaussian blur, additive Gaussian white noise, jpeg and ...
Alain Hore, Djemel Ziou
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SSIM Preservation-Based Backlight Dimming

Journal of Display Technology, 2014
In this letter, a new backlight dimming technique that considers perceptual image quality based on a structural similarity (SSIM) metric is proposed. Conventional algorithms cannot accurately control the optimal trade-off between image quality and power consumption; image quality is therefore degraded in some images. In contrast, the proposed algorithm
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Rate-SSIM optimization for video coding

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
The structural similarity (SSIM) index has been found to be a good indicator of perceived image quality. In this paper, we propose a rate-SSIM optimization scheme for mode selection in H.264/AVC video coding. To derive the Lagrange multiplier based on the properties of input sequences, a novel reduced-reference statistical SSIM model and a source-side ...
Shiqi Wang, Abdul Rehman, Zhou Wang, Siwei Ma, Wen Gao   +4 more
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Selecting the proper window for SSIM

SPIE Proceedings, 2012
The structural similarity index (SSIM) is a well-known metric in the field of image quality assessment (IQA). It is a full-reference metric that uses a sliding window to determine local quality/distortion measures between two images (based on a combination of luminance, contrast, and structural measurements from each image's window), and combines ...
Steven B. McFadden, Paul A. S. Ward
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