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}
}
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143 Citations
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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
...
...