Name
Title | ||
|---|---|---|
Encoding Visual Sensitivity by MaxPol Convolution Filters for Image Sharpness Assessment. |
Abstract | ||
|---|---|---|
In this paper, we propose a novel design of human visual system (HVS) response in a convolutional filter form to decompose meaningful features that are closely tied with image sharpness level. No-reference (NR) image sharpness assessment (ISA) techniques have emerged as the standard of image quality assessment in diverse imaging applications. Despite their high correlation with subjective scoring,... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIP.2019.2906582 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Measurement,Visualization,Convolution,Feature extraction,Finite impulse response filters,Imaging,Databases | Gaussian filter,Computer vision,Pattern recognition,Convolution,Human visual system model,Image quality,Digital pathology,Feature extraction,Artificial intelligence,Finite impulse response,Luminance,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 9 | 1057-7149 |
Citations | PageRank | References |
4 | 0.40 | 31 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Mahdi Hosseini | 1 | 51 | 5.41 |
| Yueyang Zhang | 2 | 4 | 0.40 |
| Kostas N. Plataniotis | 3 | 34 | 7.69 |