Results 211 to 220 of about 10,267 (252)
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SSIM-based adaptive quantization in HEVC
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013HEVC 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 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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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 0001 +2 more
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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 0001 +4 more
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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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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 Signature of Facial Micro-Expressions
2020Facial 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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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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Rate SSIM Based Preprocessing for Video Coding
2020 IEEE International Conference on Consumer Electronics (ICCE), 2020An effectively perceptual preprocessing filter method will reduce the sequence’s perceptually insignificant details, which can help to alleviate the video coding’s pressure and benefit the coding results. In this paper, a perceptual rate distortion optimization based preprocessing filter algorithm is presented to achieve better video compression ...
Guoqing Xiang +5 more
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ISMRM Annual Meeting
Motivation: When quantifying MRI image quality, image similarity metrics must be able to detect image artifacts. Goal(s): To investigate the sensitivity of image similarity metrics to common distortion sources in MRI. Approach: Distorted MRI is simulated using blurring, noise, inter-scan and intra-scan motion. Regression forests are trained to estimate
Maarten Terpstra, Cornelis van den Berg
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Motivation: When quantifying MRI image quality, image similarity metrics must be able to detect image artifacts. Goal(s): To investigate the sensitivity of image similarity metrics to common distortion sources in MRI. Approach: Distorted MRI is simulated using blurring, noise, inter-scan and intra-scan motion. Regression forests are trained to estimate
Maarten Terpstra, Cornelis van den Berg
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SSIM-NET: Real-Time PCB Defect Detection Based on SSIM and MobileNet-V3
2019 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM), 2019Defect detection is an indispensable part of the print circuit board (PCB) manufacturing process, which could identify problems in the previous manufacturing process to avoid the subsequent meaningless assembly work. However, previous works, e.g., traditional detection approaches fully based on machine learning, which are really too sensitive by some ...
Beixin Xia, Jianbin Cao, Chen Wang
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