Reduced-reference image quality assessment using a wavelet-domain natural image statistic model

Wang, Zhou; Simoncelli, Eero P.

doi:10.1117/12.597306

Cited by 373 publications

(260 citation statements)

References 49 publications

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“…RR methods can be either designed independently with respect to pre-existing FR methods [10,11] or as an approximation of some FR metrics as in [12]. The methods developed using the first approach are specifically conceived to target the peculiarities of the RR scenario, but need to be matched against MOS tests for their effectiveness to be validated.…”

Section: Introductionmentioning

confidence: 99%

A reduced-reference video structural similarity metric based on no-reference estimation of channel-induced distortion

Albonico

Valenzise

Tagliasacchi

et al. 2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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The reduced-reference (RR) approximation of a full-reference (FR) video quality assessment method is a convenient way to build evaluation metrics which are both intrinsically well correlated with human judgments and feasible to implement in a network scenario, without the need to explore the perceptual significance of new video features through mean opinion score tests. In this paper, we propose a RR approximation of the video structural similarity index (VSSIM), a FR metric which is known to be well descriptive of the video quality perceived by users. We focus on the visual degradation produced by channel transmission errors: first, at the encoder, a small set of salient structural video features is assembled and transmitted through the RR channel to the end-user; then, at the decoder the feature vector is combined with a fine-granularity, no-reference estimate of the channel-induced distortion to produce the VSSIM approximation. By uniformly quantizing the feature vector and compressing it using a context-adaptive, variable length encoder, we show that good correlation coefficients with ground-truth VSSIM (ρ = 0.85) may be achieved spending, respectively, less than 12 and 27 kbps for a video sequence with CIF or SD resolution.

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Section: Introductionmentioning

confidence: 99%

A reduced-reference video structural similarity metric based on no-reference estimation of channel-induced distortion

Albonico

Valenzise

Tagliasacchi

et al. 2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…Traditionally, subjective or objective and hybrid approaches [7,[12][13][14][15][16][17][18][19][20][21] are used to assess the quality of an image or a video. Subjective quality assessment for healthcare applications relies on medical experts or trained users visually analysing and rating the images or videos on a scale of 1(bad) to 5(excellent), often by comparing them with the originals.…”

Section: A Visual Quality Evaluation Methods For Telemedicine Applicatmentioning

confidence: 99%

A visual quality evaluation method for telemedicine applications

Nasr

Martini

2017

Signal Processing: Image Communication

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Ratio (PSNR) and the Structural SIMilarity index metric (SSIM). Comparisons with subjective results interms of Differential Mean Opinion Scores (DMOS) are also presented. We show that the presented method, not needing the original frame to predict the quality, achieves a high correlation with subjective results (more than 0.9) for the different quality metrics used. We also present relationships between the quality derived via the logo and via the original frame and we assess the overhead in data transmission resulting from the compressed logo data and its protection overhead.Index Terms-Visual quality evaluation, medical ultrasound, objective quality metrics, subjective quality metrics, medical quality of service/experience, wireless telemedicine

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“…In [53] a quality metric has been proposed that is based on a natural image statistic model in the wavelet domain. The authors state that many image distortions lead to significant changes in wavelet coefficient histograms.…”

Section: Reduced-reference Quality Assessmentmentioning

confidence: 99%