Neural Network for Color Constancy
نویسندگان
چکیده
Color constancy is the perceived stability of the color of objects under different illuminants. Four-layer neural network for color constancy has been developed. It has separate input channels for the test chip and for the background. Input of network was RGB receptors. Second layer consisted of color opponent cells and output have three neurons signaling x, y, Y coordinates (1931 CIE). Network was trained with the back-propagation algorithm. For training and testing we used nine illuminants with wide spectrum. Neural network was able to achieve color constancy. Input of background coordinates and nonlinearity of network have crucial influence for training.
منابع مشابه
A Color Constancy Scheme Based on Finite-Dimensional Linear Model and Neural Network
This paper proposes a new scheme for color constancy. A backpropagation (BP) neural network is used to model the nonlinear functional relationship between the white point chromaticity and coefficients of illuminant functions. The trained BP network can then be used to estimate the spectral power distribution of surrounding illuminant. Substituting this illuminant estimate into the finite-dimens...
متن کاملBootstrapping color constancy
Bootstrapping provides a novel approach to training a neural network to estimate the chromaticity of the illuminant in a scene given image data alone. For initial training, the network requires feedback about the accuracy of the network’s current results. In the case of a network for color constancy, this feedback is the chromaticity of the incident scene illumination. In the past, perfect feed...
متن کاملApproaching the computational color constancy as a classification problem through deep learning
Computational color constancy refers to the problem of computing the illuminant color so that the images of a scene under varying illumination can be normalized to an image under the canonical illumination. In this paper, we adopt a deep learning framework for the illumination estimation problem. The proposed method works under the assumption of uniform illumination over the scene and aims for ...
متن کاملCommittee-Based Color Constancy
We show how to achieve better illumination estimates for color constancy by combining the results of several existing algorithms. We consider committee methods based on both linear and non–linear ways of combining the illumination estimates from the original set of color constancy algorithms. Committees of grayworld, white patch and neural net methods are tested. The committee results are alway...
متن کاملColor Constancy by Deep Learning
Computational color constancy aims to estimate the color of the light source. The performance of many vision tasks, such as object detection and scene understanding, may benefit from color constancy by using the corrected object colors. Since traditional color constancy methods are based on specific assumptions, none of those methods can be used as a universal predictor. Further, shallow learni...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Informatica, Lith. Acad. Sci.
دوره 11 شماره
صفحات -
تاریخ انتشار 2000