SOTAVerified

Full reference image quality assessment

The goal is to calculate an objective quality score for a given (potentially) distorted image given its reference (potentially) pristine quality image is available. Training-free metrics are listed.

Papers

Showing 2650 of 50 papers

TitleStatusHype
Information Content Weighting for Perceptual Image Quality Assessment0
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment0
Most Apparent Distortion: Full-Reference Image Quality Assessment and the Role of Strategy0
Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment0
Perceptual Quality Assessment for Fine-Grained Compressed Images0
Perceptual Quality Assessment for Video Frame Interpolation0
Sparse Feature Fidelity for Perceptual Image Quality Assessment0
SR-SIM: A fast and high performance IQA index based on spectral residual0
Subjective and Objective Quality Assessment of Image: A Survey0
Subjective Image Quality Assessment with Boosted Triplet Comparisons0
Training-Free Synthesized Face Sketch Recognition Using Image Quality Assessment Metrics0
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment0
A comprehensive evaluation of full-reference image quality assessment algorithms on KADID-10k0
A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment0
A Shift-insensitive Full Reference Image Quality Assessment Model Based on Quadratic Sum of Gradient Magnitude and LOG signals0
A study of why we need to reassess full reference image quality assessment with medical images0
A survey on IQA0
BELE: Blur Equivalent Linearized Estimator0
Blind Predicting Similar Quality Map for Image Quality Assessment0
Center Emphasized Visual Saliency and a Contrast-based Full Reference Image Quality Index0
Contrast and visual saliency similarity-induced index for assessing image quality0
Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks0
Deviation Based Pooling Strategies For Full Reference Image Quality Assessment0
Digital twins enable full-reference quality assessment of photoacoustic image reconstructions0
Evaluation of quality measures for color quantization0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MDSISRCC0.92Unverified
2HaarPSISRCC0.91Unverified
3IQA MetricSRCC0.9Unverified
4VSISRCC0.9Unverified
5SR-SIMSRCC0.89Unverified
6GMSDSRCC0.89Unverified
7FSIMcSRCC0.88Unverified
8SFFSRCC0.88Unverified
9IW-SSIMSRCC0.86Unverified
10MS-SSIMSRCC0.85Unverified
#ModelMetricClaimedVerifiedStatus
1MDSISRCC0.88Unverified
2SR-SIMSRCC0.88Unverified
3FSIMcSRCC0.88Unverified
4VSISRCC0.87Unverified
5MADSRCC0.86Unverified
6HaarPSISRCC0.85Unverified
7IW-SSIMSRCC0.83Unverified
8GMSDSRCC0.82Unverified
9SFFSRCC0.81Unverified
10VIFSRCC0.75Unverified
#ModelMetricClaimedVerifiedStatus
1MDSISRCC0.89Unverified
2HaarPSISRCC0.88Unverified
3VSISRCC0.88Unverified
4PELSRCC0.88Unverified
5FSIMcSRCC0.85Unverified
6GMSDSRCC0.85Unverified
7SR-SIMSRCC0.84Unverified
8FSIMSRCC0.83Unverified
9MS-SSIMSRCC0.8Unverified
10VIFSRCC0.65Unverified
#ModelMetricClaimedVerifiedStatus
1MDSISRCC0.85Unverified
2SFFSRCC0.83Unverified
3VSISRCC0.82Unverified
4VIFSRCC0.81Unverified
5GMSDSRCC0.78Unverified
6FSIMcSRCC0.78Unverified
7SR-SIMSRCC0.76Unverified
8IW-SSIMSRCC0.69Unverified
9MADSRCC0.69Unverified
10MS-SSIMSRCC0.67Unverified