Name
Abstract | ||
|---|---|---|
The spectral characterization of digital imaging devices overcomes the drawbacks of conventional colorimetric characterization by determining the sensor spectral sensitivity functions. Direct measurement of the sensitivities requires expensive instruments and takes long time. A "quick and easy" yet accurate enough estimation of those functions are desired in some circumstances. The estimation is realized by imaging some selected set of reflectance samples. In this paper, some primary available approaches to the sensor sensitivity estimation are reviewed, followed by the description of the proposed iterative multiscale basis functions method. The performance of the new method is compared with some of the available approaches. The implementation of the new method is relatively simple and the results show that it is superior by offering more degrees of freedoms and yielding nonnegative, smooth, and close approximation under either noiseless or noisy condition. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1117/12.472023 | COLOR IMAGING VIII: PROCESSING, HARDCOPY, AND APPLICATIONS |
Keywords | Field | DocType |
spectral sensitivity, estimation, inverse, iterative, multiscale, basis functions | Inverse,Spectral sensitivity,Algorithm,Optics,Basis function,Digital imaging,Reflectivity,Mathematics | Conference |
Volume | ISSN | Citations |
5008 | 0277-786X | 1 |
PageRank | References | Authors |
0.41 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| shuxue quan | 1 | 5 | 1.46 |
| Noboru Ohta | 2 | 22 | 10.86 |
| xiaoyun jiang | 3 | 1 | 0.41 |