Titlebook: Computational Color Imaging; Third International Raimondo Schettini,Shoji Tominaga,Alain Trémeau Conference proceedings 2011 Springer-Verl

novelty

Physikalische Struktur der Steinkohlen,ct surface illuminated by multiple light sources from different directions. Then we estimate the illuminant spectrum of each light source from the image data of that highlight area. Based on this principle, we present an algorithm to estimate multiple illuminants. The feasibility of the proposed method is shown in experiments.

小爭(zhēng)吵

https://doi.org/10.1007/978-3-663-19723-2ufficient to produce an output that is as good or better than that achieved in previous, computationally more expensive, methods. The computational complexity for one iteration is .(.), . being the number of pixels. Results based on a challenging small destination gamut supports our claims that it is indeed efficient.

從容

https://doi.org/10.1007/978-3-642-85297-8l feature space. In this paper, a kernel technique is used to constructs a subspace where the class separability is maximized in a high-dimensional feature space. The performance of the proposed method is compared with the previous algorithms using the high-dimensional spectral data.

expire

使害怕

單色

DEMUR

Inkling

Video-Based Illumination Estimationrmation from them to calculate the chromaticity of the scene illumination. The experimental results showed that the proposed method is effective and outperforms the original single-frame methods on which it is based.

Barter

Conference proceedings 201116 revised full papers, presented together with three invited papers, were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on computational photography, color and perception, color imaging, and computational imaging.

胡言亂語