Color2Gray: salience-preserving color removal
ACM SIGGRAPH 2005 Papers
A perceptual framework for contrast processing of high dynamic range images
ACM Transactions on Applied Perception (TAP)
Fast and adaptive color-to-grayscale conversion
ACM SIGGRAPH 2006 Sketches
Geometric Mean for Subspace Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biased discriminant euclidean embedding for content-based image retrieval
IEEE Transactions on Image Processing
No-reference image quality assessment in contourlet domain
Neurocomputing
Image ratio features for facial expression recognition application
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Color to Gray: Visual Cue Preservation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Max-Min Distance Analysis by Using Sequential SDP Relaxation for Dimension Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature level analysis for 3D facial expression recognition
Neurocomputing
Non-Negative Patch Alignment Framework
IEEE Transactions on Neural Networks
Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent
IEEE Transactions on Image Processing
Complex Object Correspondence Construction in Two-Dimensional Animation
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
| Hi-index | 0.01 |
A classical image processing problem is converting color images to gray. This paper presents a Virtual Luminance Axis (VLA) to provide users a friendly interface to control the conversion process. The user selects several interesting color regions by drawing a few brush strokes, and then tunes the maximum and minimum of the corresponding band for each kind of color on the VLA. Our algorithm derives global mapping of the color space onto the VLA as close as possible. In this way, the user can ''tune'' the resulting image to produce the ideal effects he desires. Quantization and interpolating techniques are employed to accelerate the computation. The experiments show that the final gray is transferred as user defines.