We attempt to recover a 2D chromaticity intrinsic variation of a single RGB image which is independent of lighting, without requiring any prior knowledge about the camera. The proposed algorithm aims to learn an invariant direction for projecting from 2D color space to the greyscale intrinsic image. We notice that along this direction, the entropy in the derived invariant image is minimized. The experiments con-ducted on various inputs indicate that this method achieves intrinsic 2D chromaticity images which are free of shad-ows. In addition, we examined the idea to utilize projection pursuit instead of entropy minimization to find the desired direction. 1
AbstractMost of the existing stereo matching algorithms will assume a similar corresponding color va...
This paper proposes a reversible algorithm to convert color images to gray images with keeping chrom...
When image processing operations are performed on color images, it is normal that the production of ...
A method was recently devised for the recovery of an invariant image from a 3-band colour image. Th...
A method was recently devised for the recovery of an invariant image from a 3-band colour image. The...
A recent method for recovering a greyscale image that is free from shadow effects is extended such t...
A recent method for recovering a greyscale image that is free from shadow effects is extended such t...
Reasoning from image formation, we have shown that there exists a greyscale image – the invariant im...
This thesis is concerned with the derivation of a shadow-free image representation. We propose sever...
Figure 1: A color image (Left) often reveals important visual details missing from a luminance-only ...
The illumination-invariant image is a useful intrinsic feature latent in colour image data. The idea...
Abstract — This paper is concerned with the derivation of a progression of shadow-free image represe...
The invariant image [1, 2] formed from an RGB image taken under light that can be approximated as Pl...
Illumination conditions cause problems for many computer vision algorithms. In particular, shadows i...
Gamut mapping colour constancy attempts to de-termine the set of diagonal matrices taking the gamut ...
AbstractMost of the existing stereo matching algorithms will assume a similar corresponding color va...
This paper proposes a reversible algorithm to convert color images to gray images with keeping chrom...
When image processing operations are performed on color images, it is normal that the production of ...
A method was recently devised for the recovery of an invariant image from a 3-band colour image. Th...
A method was recently devised for the recovery of an invariant image from a 3-band colour image. The...
A recent method for recovering a greyscale image that is free from shadow effects is extended such t...
A recent method for recovering a greyscale image that is free from shadow effects is extended such t...
Reasoning from image formation, we have shown that there exists a greyscale image – the invariant im...
This thesis is concerned with the derivation of a shadow-free image representation. We propose sever...
Figure 1: A color image (Left) often reveals important visual details missing from a luminance-only ...
The illumination-invariant image is a useful intrinsic feature latent in colour image data. The idea...
Abstract — This paper is concerned with the derivation of a progression of shadow-free image represe...
The invariant image [1, 2] formed from an RGB image taken under light that can be approximated as Pl...
Illumination conditions cause problems for many computer vision algorithms. In particular, shadows i...
Gamut mapping colour constancy attempts to de-termine the set of diagonal matrices taking the gamut ...
AbstractMost of the existing stereo matching algorithms will assume a similar corresponding color va...
This paper proposes a reversible algorithm to convert color images to gray images with keeping chrom...
When image processing operations are performed on color images, it is normal that the production of ...