The blur effect: perception and estimation with a new no-reference perceptual blur metric
By F. Crete, Thierry Dolmiere, P. Ladret, M. Nicolas. Electronic imaging, 2007
674 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/b59e5d44643bc1fe92ca4fccc3d103189c1995ab
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In Computer Vision and Pattern Recognition
- Kristen Grauman
- Hu Han
- Anil K. Jain
- Dacheng Tao
- Luc Van Gool
- Xiaogang Wang
- Chen Change Loy
- Ming-Hsuan Yang
Citations in the corpus
- Story-Driven Summarization for Egocentric Video (2013, methodology): “To compute blur features, we divide the frame into a 3× 3 grid and score each cell by its blurriness, using [4].”
- Blind Quality Assessment Based on Pseudo-Reference Image (2018, neutral): “[5] and Li”
- Seven Challenges in Image Quality Assessment: Past, Present, and Future Research (2013, background): “[228] generate a blurred version of the input image and then estimate blurriness based on the variation between neighboring pixels in the input versus blurred images.”
- Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV) (2015, background): “[25], and a further description of its implementation can be found in Turner et al.”
- Blind Image Quality Estimation via Distortion Aggravation (2018, neutral): “[35] and Li et al.”
- ${\bf S}_{3}$: A Spectral and Spatial Measure of Local Perceived Sharpness in Natural Images (2012, background): “[23] generate a blurred version of the input image, and then compute the variation between neighboring pixels of each image.”
- Face Spoof Detection With Image Distortion Analysis (2015, methodology): “We utilize two types of blurriness features (denoted as b 1 and b 2 ) that were proposed in [33] and [34], respectively.”
- An Assisted Photography Framework to Help Visually Impaired Users Properly Aim a Camera (2014, methodology): “We track the ROI in successive frames through a standard template matching algorithm [Baker and Matthews 2004] and estimate blur using a non-reference blur metric [Crete et al. 2007].”