Color gamut mapping and the printing of digital color images
ACM Transactions on Graphics (TOG)
PostScript language reference manual (2nd ed.)
PostScript language reference manual (2nd ed.)
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
ACM Transactions on Graphics (TOG)
Color image quantization by minimizing the maximum intercluster distance
ACM Transactions on Graphics (TOG)
Correcting the Geometry and Color of Digital Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Transactions on Graphics (TOG)
Dynamic Color Quantization of Video Sequences
IEEE Transactions on Visualization and Computer Graphics
Exploiting color and topological features for region segmentation with recursive fuzzy C-means
Machine Graphics & Vision International Journal - Special issue on latest results in colour image processing and applications
Technical Section: Gradient based image completion by solving the Poisson equation
Computers and Graphics
Finger identification and hand posture recognition for human-robot interaction
Image and Vision Computing
Fusion of multi-exposure images
Image and Vision Computing
Automatic image-based assessment of lesion development during hemangioma follow-up examinations
Artificial Intelligence in Medicine
Intelligent object extraction algorithm based on foreground/background classification
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Gradient based image completion by solving poisson equation
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Perceptual indiscernibility, rough sets, descriptively near sets, and image analysis
Transactions on Rough Sets XV
Hi-index | 0.00 |
Important standards for device-independent color allow many different color encodings. This freedom obliges users of these standards to choose the color space in which to represent their data. A device-independent interchange color space must exhibit an exact mapping to a colorimetric color representation, ability to encode all visible colors, compact representation for given accuracy, and low computational cost for transforms to and from device-dependent spaces. The performance of CIE 1931 XYZ, CIELUV, CIELAB, YES, CCIR 601-2 YCbCr, and SMPTE-C RGB is measured against these requirements. With extensions, all of these spaces can meet the first two requirements. Quantizing error dominates the representational errors of the tested color spaces. Spaces that offer low quantization error also have low gain for image noise. All linear spaces are less compact than nonlinear alternatives. The choice of nonlinearity is not critical; a wide range of gammas yields acceptable results. The choice of primaries for RGB representations is not critical, except that high-chroma primaries should be avoided. Quantizing the components of the candidate spaces with varying precision yields only small improvements. Compatibility with common image data compression techniques leads to the requirement for low luminance contamination, a property that compromises several otherwise acceptable spaces. The conversion of a device-independent representation to popular device spaces by means of trilinear interpolation requires substantially fewer lookup table entries with CCIR 601-2 YCbCr and CIELAB.