Search Results for author: Jarno Nikkanen

Found 11 papers, 5 papers with code

Robust channel-wise illumination estimation

1 code implementation10 Nov 2021 Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, Moncef Gabbouj

We test this approach on the proposed method and show that it can indeed be used to avoid several extreme error cases and, thus, improves the practicality of the proposed technique.

Color Constancy

Probabilistic Color Constancy

no code implementations6 May 2020 Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, Moncef Gabbouj

In this paper, we propose a novel unsupervised color constancy method, called Probabilistic Color Constancy (PCC).

Color Constancy

Bag of Color Features For Color Constancy

1 code implementation11 Jun 2019 Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj

To further improve the illumination estimation accuracy, we propose a novel attention mechanism for the BoCF model with two variants based on self-attention.

Color Constancy

Color Constancy Convolutional Autoencoder

no code implementations4 Jun 2019 Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj

In this paper, we study the importance of pre-training for the generalization capability in the color constancy problem.

Color Constancy Unsupervised Pre-training

On Finding Gray Pixels

2 code implementations CVPR 2019 Yanlin Qian, Joni-Kristian Kämäräinen, Jarno Nikkanen, Jiri Matas

We propose a novel grayness index for finding gray pixels and demonstrate its effectiveness and efficiency in illumination estimation.

Revisiting Gray Pixel for Statistical Illumination Estimation

1 code implementation22 Mar 2018 Yanlin Qian, Said Pertuz, Jarno Nikkanen, Joni-Kristian Kämäräinen, Jiri Matas

We present a statistical color constancy method that relies on novel gray pixel detection and mean shift clustering.

Color Constancy

Recurrent Color Constancy

no code implementations ICCV 2017 Yanlin Qian, Ke Chen, Jarno Nikkanen, Joni-Kristian Kamarainen, Jiri Matas

We introduce a novel formulation of temporal color constancy which considers multiple frames preceding the frame for which illumination is estimated.

Color Constancy

INTEL-TUT Dataset for Camera Invariant Color Constancy Research

no code implementations21 Mar 2017 Caglar Aytekin, Jarno Nikkanen, Moncef Gabbouj

In this paper, we provide a novel dataset designed for camera invariant color constancy research.

Color Constancy

Deep Structured-Output Regression Learning for Computational Color Constancy

no code implementations13 Jul 2016 Yanlin Qian, Ke Chen, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas

Computational color constancy that requires esti- mation of illuminant colors of images is a fundamental yet active problem in computer vision, which can be formulated into a regression problem.

Color Constancy regression

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