Single and Multiple Illuminant Estimation Using Convolutional Neural Networks

Autor:	Bianco, Simone, Cusano, Claudio, Schettini, Raimondo
Rok vydání:	2015
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	In this paper we present a method for the estimation of the color of the illuminant in RAW images. The method includes a Convolutional Neural Network that has been specially designed to produce multiple local estimates. A multiple illuminant detector determines whether or not the local outputs of the network must be aggregated into a single estimate. We evaluated our method on standard datasets with single and multiple illuminants, obtaining lower estimation errors with respect to those obtained by other general purpose methods in the state of the art. Comment: Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1508.00998 Zobrazit plný text záznamu View this record from Arxiv