A Haar wavelet-based perceptual similarity index for image quality assessment

@article{Reisenhofer2018AHW,
  title={A Haar wavelet-based perceptual similarity index for image quality assessment},
  author={Rafael Reisenhofer and Sebastian Bosse and Gitta Kutyniok and Thomas Wiegand},
  journal={Signal Process. Image Commun.},
  year={2018},
  volume={61},
  pages={33-43}
}
View PDF on arXiv
143 Citations
Highly Influential Citations
15
Background Citations
19
Methods Citations
52

Figures and Tables from this paper

143 Citations

Citation Type

Citation Type

A New Objective Image Quality Assessment Metric: For Color and Grayscale Images
TLDR
Though the proposed method involves simple mathematical calculations and no human visual system model is employed, the experimental analysis shows that FR is found to be highly effective and robust measure especially for continuous tone, discrete tone, bi-level and inverted images.
PIQI: perceptual image quality index based on ensemble of Gaussian process regression
TLDR
A no-reference Perceptual Image Quality Index (PIQI) is proposed in this paper to assess the quality of digital images which calculates luminance and gradient statistics along with mean subtracted contrast normalized products in multiple scales and color spaces.
A Study of the Perceptually Weighted Peak Signal-To-Noise Ratio (WPSNR) for Image Compression
TLDR
A block-based perceptually weighted PSNR (WPSNR) is revisited and evaluated which calculates weighting factors to capture visual sensitivity of local image regions and a sample-based version of WPSNR is introduced which determines those sensitivity weights with higher spatial accuracy.
SSVD: Structural SVD-based image quality assessment
Intensity image quality assessment based on multiscale gradient magnitude similarity deviation
Abstract. Laser active imaging is widely used in many fields. The intensity image quality of laser active imaging is affected by various degradations, such as speckle effect and noise. Most existing…
Full Reference Image Quality Assessment Based on Visual Salience With Color Appearance and Gradient Similarity
TLDR
The novel model is called visual saliency with color appearance and gradient similarity (VCGS), and the commonly evaluation criteria results prove that VCGS works with higher consistency with the subjective evaluations than the other state-of-the-art IQA models for the prediction accuracy.
Full Reference Image Quality Assessment by Considering Intra-Block Structure and Inter-Block Texture
TLDR
This paper argues that the human visual system perceives distortions not only depends on local structural distortions, but also relates to the structural distortions of their neighborhoods (inter-block texture), and proposes a novel image quality assessment method, called the diffusion speed structure similarity (DSSIM), by considering both intra-block structure and inter-blocks texture.
Combined Full-Reference Image Quality Metrics for Objective Assessment of Multiply Distorted Images
TLDR
The validation of the proposed approach, carried out using four currently available image datasets, indicates a meaningful increase of correlations of the optimized combined metrics with subjective opinions for all datasets.
Image Quality Assessment Based on Quaternion Singular Value Decomposition
TLDR
An image quality assessment metric that represents a color image as a quaternion matrix, separates image noise information using singular value decomposition and extracts features from both the whole image and its noise information is proposed.
Web Assembled Benchmark for Image Visual Quality Assesment, Prediction and Improvement
TLDR
A benchmark is developed to deploy all aforementioned processing stages to a web platform and provide their functionality regardless of user device type and operating system, and a rationale for filtering running predicted values of visual quality metrics and their improvement after denoising without its applying are provided using neural networks.
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 46 REFERENCES
Image quality assessment: from error visibility to structural similarity
TLDR
A structural similarity index is developed and its promise is demonstrated through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000.
FSIM: A Feature Similarity Index for Image Quality Assessment
TLDR
A novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features.
Image Quality Assessment Based on Gradient Similarity
TLDR
The proposed IQA scheme is designed to follow the masking effect and visibility threshold more closely, i.e., the case when both masked and masking signals are small is more effectively tackled by the proposed scheme.
No-Reference Image Quality Assessment Using Visual Codebooks
TLDR
The proposed method is comparable to state-of-the-art general-purpose NR-IQA methods and outperforms the full-reference image quality metrics, peak signal-to-noise ratio and structural similarity index on the Laboratory for Image and Video Engineering IQA database.
Image information and visual quality
  • H. Sheikh, A. Bovik
  • Computer Science
    2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
  • 2004
TLDR
This work proposes an information fidelity criterion that quantifies the Shannon information that is shared between the reference and distorted images relative to the information contained in the reference image itself, and demonstrates the performance of the algorithm by testing it on a data set of 779 images.
SOM: Semantic obviousness metric for image quality assessment
TLDR
This paper proposes a new no-reference (NR) image quality assessment (IQA) framework based on semantic obviousness, which is demonstrated to be superior to the existing NR-IQA algorithms and comparable to the state-of-the-art full-reference IQA (FR- IQA) methods.
Most apparent distortion: full-reference image quality assessment and the role of strategy
TLDR
A quality assessment method [most apparent distortion (MAD)], which attempts to explicitly model these two separate strategies, local luminance and contrast masking and changes in the local statistics of spatial-frequency components are used to estimate appearance-based perceived distortion in low-quality images.
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment
TLDR
Extensive experiments performed on four largescale benchmark databases demonstrate that the proposed IQA index VSI works better in terms of the prediction accuracy than all state-of-the-art IQA indices the authors can find while maintaining a moderate computational complexity.
Application of a Noise Adaptive Contrast Sensitivity Function to Image Data Compression
  • S. Daly
  • Computer Science
    Photonics West - Lasers and Applications in Science and Engineering
  • 1989
TLDR
This work describes a model of the CSF that includes changes as a function of image noise level by using the concepts of internal visual noise, and tests this model in the context of image compression with an observer study.
Image database TID2013: Peculiarities, results and perspectives
...
1
2
3
4
5
...