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Two-stage single image reflection removal with reflection-aware guidance
Removing undesired reflection from an image captured through a glass surface is a very challenging problem with many practical applications. For...
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Cross-propagation parallel network for reflection image inpainting
The development of deep learning has led to great advances in image reflection removal techniques. Most existing image reflection removal methods can...
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Single image reflection removal via self-attention and local discrimination
In practical scenarios, reflections may impair the visual quality of images, bring negative impacts to both human perception and subsequent computer...
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Single Image Reflection Removal Using DeepLabv3+
When photographing near transparent objects such as glass, things in the area often appear in the image (reflected light). This reflected light...
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A fast and effective algorithm for specular reflection image enhancement
Aiming at the problems of image quality degradation and information loss in images affected by reflections in real scenes, this paper proposes a fast...
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Inter-reflection compensation for immersive projection display
To ensure high-quality multi-projection display and fast projection scattering compensation processing, we propose a novel inter-reflection...
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An effective underground image enhancement approach based on improved KinD network
Mine images often have problems such as unclear details and low miner-background contrast due to lighting issues, and traditional enhancement methods...
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RS-UNet: lightweight network with reflection suppression for floating objects segmentation
The research on image semantic segmentation of floating objects on water is beneficial to realize the automatic location of pollutants and facilitate...
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RDGMEF: a multi-exposure image fusion framework based on Retinex decompostion and guided filter
The multi-exposure image fusion (MEF) technique directly fuses a series of images with the same scene but different exposure levels into one...
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Zero-Shot Learning for Reflection Removal of Single 360-Degree Image
The existing methods for reflection removal mainly focus on removing blurry and weak reflection artifacts and thus often fail to work with severe and...
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EGMM: removal of specular reflection with cervical region segmentation using enhanced Gaussian mixture model in cervix images
Colposcopy is a crucial imaging technique for finding cervical abnormalities. Colposcopic image evaluation, particularly the accurate delineation of...
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Contrastive feature decomposition for single image layer separation
The key challenge of image layer separation stems from recognizing different components in a single image. Typical methods optimize the modeling of...
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A Pixel-Level Segmentation Method for Water Surface Reflection Detection
Water surface reflections pose challenges to unmanned surface vehicles or robots during target detection and tracking tasks, leading to issues such...
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Image Restoration for Beautification
Image restoration refers to the recovery from a degraded image to achieve better visual aesthetics. With the advances in imaging and computing, image...
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Light Flickering Guided Reflection Removal
When photographing through a piece of glass, reflections usually degrade the quality of captured images or videos. In this paper, by exploiting...
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Face Image Reflection Removal
Face images captured through glass are usually contaminated by reflections. The low-transmitted reflections make the reflection removal more...
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KinD-LCE: curve estimation and Retinex Fusion on low-light image
Low-light images often suffer from noise and color distortion. Object detection, semantic segmentation, instance segmentation, and other tasks are...
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Real-Time Underwater Image Enhancement Using Adaptive Full-Scale Retinex
Current Retinex-based image enhancement methods with fixed scale filters cannot adapt to situations involving various depths of field and...
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DICNet: achieve low-light image enhancement with image decomposition, illumination enhancement, and color restoration
Low-light image enhancement (LLIE) is mainly used to restore image degradation caused by environmental noise, lighting effects, and other factors....
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Classification of wheat varieties with image-based deep learning
Wheat is an important grain in the food chain. It is important in terms of efficiency and economy to use wheat in the appropriate area according to...
