Pixel-wise Orthogonal Decomposition for Color Illumination Invariant and Shadow-free Image
In this paper, we propose a novel, effective and fast method to obtain a color illumination invariant and shadow-free image from a single outdoor image. Different from state-of-the-art methods for shadow-free image that either need shadow detection or statistical learning, we set up a linear equation set for each pixel value vector based on physically-based shadow invariants, deduce a pixel-wise orthogonal decomposition for its solutions, and then get an illumination invariant vector for each pixel value vector on an image. The illumination invariant vector is the unique particular solution of the linear equation set, which is orthogonal to its free solutions. With this illumination invariant vector and Lab color space, we propose an algorithm to generate a shadow-free image which well preserves the texture and color information of the original image. A series of experiments on a diverse set of outdoor images and the comparisons with the state-of-the-art methods validate our method.
Code (0)
등록된 구현이 없습니다.
Tasks
Shadow DetectionSimilar Papers 제목 키워드 기반
QRetinex-Net: Quaternion-Valued Retinex Decomposition for Low-Level Computer Vision Applications
Images taken in low light often show color shift, low contrast, noise, and other artifacts that hurt computer-vision accuracy. Retinex theory addresses this by viewing an image S as the pixel-wise product of reflectance …
Color ConstancyFace DetectionColorful Diffuse Intrinsic Image Decomposition in the Wild
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 works assume a single-color illumin…
Color ConstancyIntrinsic Image DecompositionInverse RenderingSpecular Reflection MitigationOrthogonal Decomposition Network for Pixel-Wise Binary Classification
The weight sharing scheme and spatial pooling operations in Convolutional Neural Networks (CNNs) introduce semantic correlation to neighboring pixels on feature maps and therefore deteriorate their pixel-wise classificat…
Binary ClassificationClassificationEdge DetectionGeneral Classification+2Spectral Illumination Correction: Achieving Relative Color Constancy Under the Spectral Domain
Achieving color constancy between and within images, i.e., minimizing the color difference between the same object imaged under nonuniform and varied illuminations is crucial for computer vision tasks such as colorimetri…
Camera CalibrationColor ConstancyObject RecognitionFast and High Quality Highlight Removal from A Single Image
Specular reflection exists widely in photography and causes the recorded color deviating from its true value, so fast and high quality highlight removal from a single nature image is of great importance. In spite of the …
ClusteringDiversityhighlight removalVocal Bursts Intensity Prediction