Convolutional Mean: A Simple Convolutional Neural Network for Illuminant Estimation
We present Convolutional Mean (CM) - a simple and fast convolutional neural network for illuminant estimation. Our proposed method only requires a small neural network model (1.1K parameters) and a 48 x 32 thumbnail input image. Our unoptimized Python implementation takes 1 ms/image, which is arguably 3-3750x faster than the current leading solutions with similar accuracy. Using two public datasets, we show that our proposed light-weight method offers accuracy comparable to the current leading methods' (which consist of thousands/millions of parameters) across several measures.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Single and Multiple Illuminant Estimation Using Convolutional Neural Networks
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. …
Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging
High dynamic range (HDR) imaging involves capturing a series of frames of the same scene, each with different exposure settings, to broaden the dynamic range of light. This can be achieved through burst capturing or usin…
Color ConstancyDeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks
Computational color constancy refers to the estimation of the scene illumination and makes the perceived color relatively stable under varying illumination. In the past few years, deep Convolutional Neural Networks (CNNs…
Color ConstancyCascading Convolutional Temporal Colour Constancy
Computational Colour Constancy (CCC) consists of estimating the colour of one or more illuminants in a scene and using them to remove unwanted chromatic distortions. Much research has focused on illuminant estimation for…
ADCC: An Effective and Intelligent Attention Dense Color Constancy System for Studying Images in Smart Cities
As a novel method eliminating chromatic aberration on objects, computational color constancy has becoming a fundamental prerequisite for many computer vision applications. Among algorithms performing this task, the learn…
Color Constancy