Specular highlight detection and removal are fundamental and challenging tasks. Although
recent methods achieve promising results on the two tasks by supervised training on …

Распознавание образов Page 1 66 Труды ИСА РАН. Том 67. 1/2017 Введение* Задачи
автоматического ввода и распознавания изображений документов остаются актуальными …

A robust and effective specular highlight removal method is proposed in this paper. It is
based on a key observation-the maximum fraction of the diffuse colour component in diffuse …

This paper presents a novel method for separating reflection components in a single image
based on the dichromatic reflection model. Our method is based on a modified version of …

Light-field cameras have now become available in both consumer and industrial
applications, and recent papers have demonstrated practical algorithms for depth recovery …

Intrinsic image decomposition aims to separate the surface reflectance and the effects from
the illumination given a single photograph. Due to the complexity of the problem, most prior …

Since specular reflection often exists in the real captured images and causes deviation
between the recorded color and intrinsic color, specular reflection separation can bring …

We present a fully convolutional autoencoder for light fields, which jointly encodes stacks of
horizontal and vertical epipolar plane images through a deep network of residual layers. The …

This paper aims to remove specular highlights from a single object-level image. Although
previous methods have made some progresses, their performance remains somewhat …

We propose a sparse and low-rank reflection model for specular highlight detection and
removal using a single input image. This model is motivated by the observation that the …