Barnard et al., 2001 - Google Patents
Sensor sharpening for computational color constancyBarnard et al., 2001
View PDF- Document ID
- 7205676238494621245
- Author
- Barnard K
- Ciurea F
- Funt B
- Publication year
- Publication venue
- JOSA A
External Links
Snippet
Sensor sharpening [J. Opt. Soc. Am. A11, 1553 (1994)] has been proposed as a method for improving computational color constancy, but it has not been thoroughly tested in practice with existing color constancy algorithms. In this paper we study sensor sharpening in the …
- 230000004044 response 0 abstract description 37
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Barnard et al. | Sensor sharpening for computational color constancy | |
Heikkinen et al. | Evaluation and unification of some methods for estimating reflectance spectra from RGB images | |
Finlayson et al. | Color constancy: generalized diagonal transforms suffice | |
Hordley et al. | Reevaluation of color constancy algorithm performance | |
Benavente et al. | Parametric fuzzy sets for automatic color naming | |
D’Zmura | Color constancy: surface color from changing illumination | |
Cheng et al. | Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution | |
Marimont et al. | Linear models of surface and illuminant spectra | |
Finlayson et al. | Spectral sharpening: sensor transformations for improved color constancy | |
Hayakawa | Photometric stereo under a light source with arbitrary motion | |
Heikkinen et al. | Regularized learning framework in the estimation of reflectance spectra from camera responses | |
Finlayson et al. | Rank-based camera spectral sensitivity estimation | |
Shi et al. | Illumination estimation via thin-plate spline interpolation | |
Gianini et al. | Qbrix: a quantile-based approach to retinex | |
Bianco | Reflectance spectra recovery from tristimulus values by adaptive estimation with metameric shape correction | |
Tominaga et al. | Scene illuminant classification: brighter is better | |
Afifi et al. | As-projective-as-possible bias correction for illumination estimation algorithms | |
Tominaga et al. | Component estimation of surface spectral reflectance | |
Nimeroff et al. | Degree of metamerism | |
DiCarlo et al. | Spectral estimation theory: beyond linear but before Bayesian | |
Drew et al. | Spectral sharpening with positivity | |
Kim et al. | Spectral reflectivity recovery from the tristimulus values using a hybrid method | |
Masaoka | Fast and accurate model for optimal color computation | |
Buzzelli et al. | ARC: Angle-Retaining Chromaticity diagram for color constancy error analysis | |
Funt et al. | Diagonal versus affine transformations for color correction |