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SSIM performance limitation of linear equalizers
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014ABSTRACT 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), 2014It 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 +1 more
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Image Quality Metrics: PSNR vs. SSIM
2010 20th International Conference on Pattern Recognition, 2010In 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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Rate-SSIM optimization for video coding
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011The 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 +4 more
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Selecting the proper window for SSIM
SPIE Proceedings, 2012The 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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SSIM: a software levelized compiled-code simulator
24th ACM/IEEE conference proceedings on Design automation conference - DAC '87, 1987This paper presents a new logic simulation technique that uses software levelized compiled-code (LCC) for synchronous designs. Three approaches are proposed: C source code, target machine code and interpreted code. The evaluation speed for the software LCC simulator (SSIM) is about 140,000 (gate) evaluations per second using C source code or target ...
L.-T. Wang +3 more
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SSIM based perceptual distortion rate optimization coding
SPIE Proceedings, 2010The current rate distortion optimization (RDO) coding schemes usually use the Sum of Absolute Difference (SAD) or Sum of Square Difference (SSD) as the distortion metric. However, neither SAD nor SSD correlates with the human visual system (HVS) very well. To develop a perceptual distortion based video encoder, we employ the Structural Similarity (SSIM)
Shiqi Wang, Siwei Ma, Wen Gao
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SSIM-inspired image denoising using sparse representations
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011Perceptual image quality assessment (IQA) and sparse signal representation have recently emerged as high-impact research topics in the field of image processing. Here we make one of the first attempts to incorporate the structural similarity (SSIM) index, a promising IQA measure, into the framework of optimal sparse signal representation and ...
Abdul Rehman +3 more
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SSIM for video representing and matching
2013 6th IEEE/International Conference on Advanced Infocomm Technology (ICAIT), 2013This paper propose a compact video representation using SSIM assessment for matching video sequences. As opposed to using the complex features extracting methods to analysis color and motion information through the sequence. We use the similarity index of successive frames to produce a representation of videos.
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Structural similarity index (SSIM) revisited: A data-driven approach
Expert Systems With Applications, 2022Illya Bakurov +2 more
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