Name
Abstract | ||
|---|---|---|
Color-to-gray (C2G) image conversion is the process of transforming a color image into a grayscale one. Despite its wide usage in real-world applications, little work has been dedicated to compare the performance of C2G conversion algorithms. Subjective evaluation is reliable but is also inconvenient and time consuming. Here, we make one of the first attempts to develop an objective quality model ... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIP.2015.2460015 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Image color analysis,Color,Indexes,Gray-scale,Quality assessment,Correlation | Computer vision,Color histogram,Pattern recognition,Image quality,Image conversion,Correlation,Artificial intelligence,Luminance,Mathematics,Grayscale,Color image | Journal |
Volume | Issue | ISSN |
24 | 12 | 1057-7149 |
Citations | PageRank | References |
15 | 0.57 | 33 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kede Ma | 1 | 773 | 27.93 |
| Tiesong Zhao | 2 | 100 | 10.54 |
| Kai Zeng | 3 | 95 | 5.86 |
| Z Wang | 4 | 13331 | 630.91 |