Name
Abstract | ||
|---|---|---|
We present an effective blind image deblurring algorithm based on the dark channel prior. The motivation of this work is an interesting observation that the dark channel of blurred images is less sparse. While most patches in a clean image contain some dark pixels, this is not the case when they are averaged with neighboring ones by motion blur. This change in sparsity of the dark channel pixels i... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPAMI.2017.2753804 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Image restoration,Convolution,Kernel,Image edge detection,Algorithm design and analysis,Face,Optimization | Kernel (linear algebra),Computer vision,Algorithm design,Deblurring,Computer science,Communication channel,Motion blur,Pixel,Artificial intelligence,Image restoration,Optimization problem | Journal |
Volume | Issue | ISSN |
40 | 10 | 0162-8828 |
Citations | PageRank | References |
20 | 0.58 | 34 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin-shan Pan | 1 | 567 | 30.84 |
| Deqing Sun | 2 | 1061 | 44.84 |
| Hanspeter Pfister | 3 | 5933 | 340.59 |
| Yang Ming-Hsuan | 4 | 15303 | 620.69 |