The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
FSIM: A Feature Similarity Index for Image Quality Assessment
Abstract
Image quality assessment (IQA) aims to use computational models to measure the image quality consistently with subjective evaluations. The well-known structural similarity index brings IQA from pixel- to structure-based stage. In this paper, 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. Specifically, the phase congruency (PC), which is a dimensionless measure of the significance of a local structure, is used as the primary feature in FSIM. Considering that PC is contrast invariant while the contrast information does affect HVS' perception of image quality, the image gradient magnitude (GM) is employed as the secondary feature in FSIM. PC and GM play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use PC again as a weighting function to derive a single quality score. Extensive experiments performed on six benchmark IQA databases demonstrate that FSIM can achieve much higher consistency with the subjective evaluations than state-of-the-art IQA metrics.
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study
Agustsson, E., & Timofte, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2017.150 · Cited by 4,295
Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index
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Self-citationNonlocally Centralized Sparse Representation for Image Restoration
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Self-citation
Metadata
- Authors
- Zhang, L., Zhang, L., Mou, X., & Zhang, D.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2011-08
- Volume
- 20
- Issue
- 8
- Pages
- 2378-2386
- ISSN
- 1057-7149 (ISSN-L)
- 1941-0042
- OpenAlex
- W2141983208
- Cited by
- 5,203
- References
- 4
- FWCI
- 118.35
- Type
- journal article
- Language
- en
- Open access
- closed
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