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} }
Figures and Tables from this paper
143 Citations
A New Objective Image Quality Assessment Metric: For Color and Grayscale Images
- Computer Science3D Research
- 2018
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
- Computer ScienceMultim. Tools Appl.
- 2021
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
- Computer Science2019 IEEE International Conference on Image Processing (ICIP)
- 2019
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
- Computer ScienceSignal Process. Image Commun.
- 2019
Study of subjective and objective quality assessment of infrared compressed images
- Computer ScienceJournal of Electrical Engineering
- 2022
A new database with the aim of studying both subjective and objective image quality assessment (IQA) on compressed long wavelength infrared (LWIR) images and results show that objective IQA measures correlate with human subjective results with a degree of agreement up to 95%.
Intensity image quality assessment based on multiscale gradient magnitude similarity deviation
- Physics
- 2020
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
- Computer ScienceIEEE Access
- 2020
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
- Computer ScienceIEEE Access
- 2020
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
- Computer ScienceElectronics
- 2021
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
- Computer ScienceIEEE Access
- 2020
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.
References
SHOWING 1-10 OF 46 REFERENCES
Image quality assessment: from error visibility to structural similarity
- Computer ScienceIEEE Transactions on Image Processing
- 2004
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
- Computer ScienceIEEE Transactions on Image Processing
- 2011
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
- Computer ScienceIEEE Transactions on Image Processing
- 2012
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
- Computer ScienceIEEE Transactions on Image Processing
- 2012
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
- Computer Science2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
- 2004
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
- Computer Science2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2015
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
- Computer ScienceJ. Electronic Imaging
- 2010
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
- Computer ScienceIEEE Transactions on Image Processing
- 2014
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
- Computer SciencePhotonics West - Lasers and Applications in Science and Engineering
- 1989
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
- Computer ScienceSignal Process. Image Commun.
- 2015