2016年11月23日 · We present Fast Fourier Color Constancy (FFCC), a color constancy algorithm which solves illuminant estimation by reducing it to a spatial localization task on a torus. By operating in the frequency domain, FFCC produces lower error rates than the previous state-of-the-art by 13-20% while being 250-3000 times faster.

The Fast Fourier Color Constancy (FFCC) Matlab Toolbox includes the following functionalities: Tune() - Cross-validation and parameter tuning. Train() - Training. Visualize() - Visualizing cross-validation or training/test performance.

2021年4月7日 · FFCC的工作原理是将CCC的大卷积问题（即A上的人脸检测）和该问题的混叠缩小到一个可以有效解决的小尺寸（即B上的人脸检测）。 实验表明，我们可以学习一个有效的颜色恒常性模型面对困难和模糊性，该卷积分类器将使用FFTs实现和学习，因为FFT卷积的自然周期性解决了检测“环绕”环形图像边缘的问题，并产生显著的加速比。 论文解析： 提出了一种基于学习的交叉摄像机卷积颜色恒常性（C5）方法，该方法对多个摄像机的图像进行训练，从训练过程 …

We present Fast Fourier Color Constancy (FFCC), a color constancy algorithm which solves illuminant esti-mation by reducing it to a spatial localization task on a torus. By operating in the frequency domain, FFCC pro-duces lower error rates than the previous state-of-the-art by. 13 20% while being 250 3000 faster.

本文提出的方法其实基于一些之前的工作，包括CCC： Convolutional Color Constancy 和FFCC： Fast Fourier Color Constancy，其中CCC是这三篇文章的基础，CCC的主要想法是： 根据简化的图像形成模型，图像中的每个RGB像素值都是该像素的“真实”白平衡RGB值W与所有像素共享的RGB照度L的乘积，如图所示： 所以任务的目标是，根据给定的I，来估计L，这样就可以计算出W。 然后基于观察到的规律——缩放图像的颜色通道会导致该图像的对数色度直方图中的平 …

2022年9月25日 · 关于这些问题，在作者随后的FFCC论文中尝试进行了解决： 1. 它为了加速，把图像进行了分割，把卷积核变成了FFTs 2. 为了不受限于直方图的范围，它把坐标和uv值的对应变成了坐标和uv簇的对应

Implement an optimization solver based on google's ffcc (the open source code of the second paper). The original code has many redundant code, I tried to re-implement a much more clean and easy-use version here. Fast Fourier Color Constancy implementation. Contribute to mmattamala/ffcc development by creating an account on GitHub.

IFFCC leverages the proposed inte-gral UV histogram to accelerate histogram computations across all possible regions in Cartesian space and paral-lelizes Fourier-based convolution operations, resulting in a spatially-smooth illumination map. This approach enables high-accuracy, real-time AWB in multi-illuminant scenes.

2017年7月26日 · Abstract: We present Fast Fourier Color Constancy (FFCC), a color constancy algorithm which solves illuminant estimation by reducing it to a spatial localization task on a torus. By operating in the frequency domain, FFCC produces lower error rates than the previous state-of-the-art by 13-20% while being 250-3000× faster.

We present Fast Fourier Color Constancy (FFCC), a color constancy algorithm which solves illuminant estimation by reducing it to a spatial localization task on a torus. By operating in the frequency domain, FFCC produces lower error rates than the previous state-of-the-art by 13-20% while being 250-3000 times faster.