image smoothing
19 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in image smoothing
Real world moire pattern classification
Latest papers with no code
Improved Real-time Image Smoothing with Weak Structures Preserved and High-contrast Details Removed
As existing methods always rely on gradients to determine smoothing manners, it is difficult to distinguish structures and details to handle distinctively due to the overlapped ranges of gradients for structures and details.
Tilt-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.
Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset
This paper highlights the addition of a sequential layer to the traditional RESNET 18 model for computing the accuracy of an Image classification dataset.
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation
The accuracies are acquired for each augmentation technique using a RESNET18 model.
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset
A painful element of real data is that it tends to be imbalanced.
Image 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.
One-Sided Box Filter for Edge Preserving Image Smoothing
In this paper, we present a one-sided box filter that can smooth the signal but keep the discontinuous features in the signal.
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature
Weighted Gaussian Curvature is an important measurement for images.
Quarter Laplacian Filter for Edge Aware Image Processing
The proposed filter can be adopted in a wide range of image processing applications.
Context-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.
