Papers image smoothing
“image smoothing” 태그가 달린 논문 45편 · 필터 해제
Fast Isotropic Median Filtering
Median filtering is a cornerstone of computational image processing. It provides an effective means of image smoothing, with minimal blurring or softening of edges, invariance to monotonic transformations such as gamma a…
Allimage smoothingA Complementary Global and Local Knowledge Network for Ultrasound denoising with Fine-grained Refinement
Ultrasound imaging serves as an effective and non-invasive diagnostic tool commonly employed in clinical examinations. However, the presence of speckle noise in ultrasound images invariably degrades image quality, impedi…
DecoderDenoisingDiagnosticimage smoothingImproved Real-time Image Smoothing with Weak Structures Preserved and High-contrast Details Removed
Image smoothing is by reducing pixel-wise gradients to smooth out details. As existing methods always rely on gradients to determine smoothing manners, it is difficult to distinguish structures and details to handle dist…
image smoothingOSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment
Current deep models provide remarkable object detection in terms of object classification and localization. However, estimating object rotation with respect to other visual objects in the visual context of an input image…
image smoothingObjectObject DetectionDifference of Anisotropic and Isotropic TV for Segmentation under Blur and Poisson Noise
In this paper, we aim to segment an image degraded by blur and Poisson noise. We adopt a smoothing-and-thresholding (SaT) segmentation framework that finds a piecewise-smooth solution, followed by $k$-means clustering to…
Image Segmentationimage smoothingSegmentationSemantic SegmentationContrastive Semantic-Guided Image Smoothing Network
Image smoothing is a fundamental low-level vision task that aims to preserve salient structures of an image while removing insignificant details. Deep learning has been explored in image smoothing to deal with the comple…
image smoothingSemantic SegmentationTilt-then-Blur or Blur-then-Tilt? Clarifying the Atmospheric Turbulence Model
Imaging at a long distance often requires advanced image restoration algorithms to compensate for the distortions caused by atmospheric turbulence. However, unlike many standard restoration problems such as deconvolution…
Image Restorationimage smoothingResnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset
This residual network has been a broad domain of research in deep learning. Many complex architectures are based upon residual networks. Residual networks are efficient due to skip connections. This paper highlights the…
ClassificationData AugmentationData VisualizationDetecting Image Manipulation+14AugStatic - A Light-Weight Image Augmentation Library
The rapid exponential increase in the data led to an abrupt mix of various data types, leading to a deficiency of helpful information. Creating new data with the existing different types of data are presented in this pap…
ClassificationData AugmentationData VisualizationDetecting Image Manipulation+13Augmented Balanced Image Dataset Generator Using AugStatic Library
The mixed data consists of various structured and unstructured data. The exponential boom of the amount of data has made the datasets of varying samples. This paper focuses on the image dataset generator that balances an…
ClassificationData AugmentationData VisualizationDetecting Image Manipulation+13Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation
The data in the real world consists of various kinds of painful features. A majorly found one is the class imbalance in which the number of examples in different classes in a dataset is unequal. The class imbalance is be…
ClassificationData AugmentationData VisualizationDetecting Image Manipulation+13Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset
although best-in-class AI can deliver extraordinary outcomes in experimentation, data scientists struggle to duplicate these outcomes on actual-world data. It's nothing unexpected-actual data mirrors the messy world that…
ClassificationData AugmentationData VisualizationDetecting Image Manipulation+13Deep PCB To COCO Convertor
Millions of datasets and many models use the input datasets in COCO format. In this paper, we are converting the Deep PCB dataset to COCO format. The Deep PCB is a manufacturing defect data set. It has 1500 image pairs. …
ClassificationData AugmentationData VisualizationDetecting Image Manipulation+15Image Edge Restoring Filter
In computer vision, image processing and computer graphics, image smoothing filtering is a very basic and important task and to be expected possessing good edge-preserving smoothing property. Here we address the problem …
DenoisingImage DenoisingImage Enhancementimage smoothingOne-Sided Box Filter for Edge Preserving Image Smoothing
Image smoothing is a fundamental task in signal processing. For such task, box filter is well-known. However, box filter can not keep some features of the signal, such as edges, corners and the jump in the step function.…
image smoothingA Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing
Image smoothing is a fundamental procedure in applications of both computer vision and graphics. The required smoothing properties can be different or even contradictive among different tasks. Nevertheless, the inherent …
image smoothingA Discrete Scheme for Computing Image's Weighted Gaussian Curvature
Weighted Gaussian Curvature is an important measurement for images. However, its conventional computation scheme has low performance, low accuracy and requires that the input image must be second order differentiable. To…
image smoothingOptical Flow EstimationQuarter Laplacian Filter for Edge Aware Image Processing
This paper presents a quarter Laplacian filter that can preserve corners and edges during image smoothing. Its support region is $2\times2$, which is smaller than the $3\times3$ support region of Laplacian filter. Thus, …
Image Enhancementimage smoothingLow-Light Image EnhancementContext-Aware Image Denoising with Auto-Threshold Canny Edge Detection to Suppress Adversarial Perturbation
This paper presents a novel context-aware image denoising algorithm that combines an adaptive image smoothing technique and color reduction techniques to remove perturbation from adversarial images. Adaptive image smooth…
DenoisingEdge DetectionImage Denoisingimage smoothingField of Junctions: Extracting Boundary Structure at Low SNR
We introduce a bottom-up model for simultaneously finding many boundary elements in an image, including contours, corners and junctions. The model explains boundary shape in each small patch using a 'generalized M-juncti…
Boundary Detectionimage smoothingJunction Detection