Papers Color Constancy
“Color Constancy” 태그가 달린 논문 114편 · 필터 해제
Multi-color balance for color constancy
In this paper, we propose a novel multi-color balance adjustment for color constancy. The proposed method, called "n-color balancing," allows us not only to perfectly correct n target colors on the basis of corresponding…
Color ConstancySTAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement
Image and video enhancement such as color constancy, low light enhancement, and tone mapping on smartphones is challenging because high-quality images should be achieved efficiently with a limited resource budget. Un…
Color ConstancyImage EnhancementPhoto RetouchingTone Mapping+1Illumination Estimation Challenge: experience of past two years
Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an accurate and reliable illumination estimati…
Color ConstancyVocal Bursts Valence PredictionDeep Neural Models for color discrimination and color constancy
Color constancy is our ability to perceive constant colors across varying illuminations. Here, we trained deep neural networks to be color constant and evaluated their performance with varying cues. Inputs to the network…
Color ConstancyCross-Camera Convolutional Color Constancy
We present "Cross-Camera Convolutional Color Constancy" (C5), a learning-based method, trained on images from multiple cameras, that accurately estimates a scene's illuminant color from raw images captured by a new camer…
Color ConstancyCPUGPUThe Cube++ Illumination Estimation Dataset
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras. O…
Color ConstancyUnderwater Image Color Correction by Complementary Adaptation
In this paper, we propose a novel approach for underwater image color correction based on a Tikhonov type optimization model in the CIELAB color space. It presents a new variational interpretation of the complementary ad…
Color ConstancyShape, Illumination, and Reflectance from Shading
A fundamental problem in computer vision is that of inferring the intrinsic, 3D structure of the world from flat, 2D images of that world. Traditional methods for recovering scene properties such as shape, reflectance, o…
Color ConstancyAn Improved Air-Light Estimation Scheme for Single Haze Images Using Color Constancy Prior
Hazy environment attenuates the scene radiance and causes difficulty in distinguishing the color and texture of the scene. A crucial step in dehazing is the recovery of the global air-light vector. Traditional methods…
Color ConstancySingle Image DehazingMonte Carlo Dropout Ensembles for Robust Illumination Estimation
Computational color constancy is a preprocessing step used in many camera systems. The main aim is to discount the effect of the illumination on the colors in the scene and restore the original colors of the objects. Rec…
Color ConstancyDeep LearningMulti-Domain Learning for Accurate and Few-Shot Color Constancy
Color constancy is an important process in camera pipeline to remove the color bias of captured image caused by scene illumination. Recently, significant improvements in color constancy accuracy have been achieved by usi…
Color ConstancyEnd-to-End Illuminant Estimation Based on Deep Metric Learning
Previous deep learning approaches to color constancy usually directly estimate illuminant value from input image. Such approaches might suffer heavily from being sensitive to the variation of image content. To overcome t…
Color ConstancyMetric LearningTripletProbabilistic Color Constancy
In this paper, we propose a novel unsupervised color constancy method, called Probabilistic Color Constancy (PCC). We define a framework for estimating the illumination of a scene by weighting the contribution of differe…
Color ConstancyA Benchmark for Temporal Color Constancy
Temporal Color Constancy (CC) is a recently proposed approach that challenges the conventional single-frame color constancy. The conventional approach is to use a single frame - shot frame - to estimate the scene illumin…
Color ConstancyA Multi-Hypothesis Approach to Color Constancy
Contemporary approaches frame the color constancy problem as learning camera specific illuminant mappings. While high accuracy can be achieved on camera specific data, these models depend on camera spectral sensitivity a…
Color ConstancyInvestigating the Importance of Shape Features, Color Constancy, Color Spaces and Similarity Measures in Open-Ended 3D Object Recognition
Despite the recent success of state-of-the-art 3D object recognition approaches, service robots are frequently failed to recognize many objects in real human-centric environments. For these robots, object recognition is …
3D Object RecognitionColor ConstancyObjectObject RecognitionZero-Reference Deep Curve Estimation for Low-Light Image Enhancement
The paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network. Our method trains a lightweight dee…
Color ConstancyFace DetectionImage EnhancementLow-Light Image Enhancement+1Cascading Convolutional Color Constancy
Regressing the illumination of a scene from the representations of object appearances is popularly adopted in computational color constancy. However, it's still challenging due to intrinsic appearance and label ambiguiti…
Color ConstancyWhat Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
There is active research targeting local image manipulations that can fool deep neural networks (DNNs) into producing incorrect results. This paper examines a type of global image manipulation that can produce similar ad…
Color ConstancyImage AugmentationImage ManipulationImage Segmentation+1Fast Color Constancy with Patch-wise Bright Pixels
In this paper, a learning-free color constancy algorithm called the Patch-wise Bright Pixels (PBP) is proposed. In this algorithm, an input image is first downsampled and then cut equally into a few patches. After that, …
Color Constancy