Multi-scale attention network for image inpainting
Recently, deep learning based inpainting methods have shown promising performance, in
which some multi-scale networks are introduced to characterize image content in both …
which some multi-scale networks are introduced to characterize image content in both …
Patch-sparsity-based image inpainting through a facet deduced directional derivative
D Jin, X Bai - IEEE Transactions on Circuits and Systems for …, 2018 - ieeexplore.ieee.org
This paper presents a patch-sparsity-based image inpainting algorithm through a facet
deduced directional derivative. The algorithm could ensure the continuity of boundaries of …
deduced directional derivative. The algorithm could ensure the continuity of boundaries of …
Diffusion-based image inpainting forensics via weighted least squares filtering enhancement
Y Zhang, T Liu, C Cattani, Q Cui, S Liu - Multimedia Tools and …, 2021 - Springer
The rapid development of blockchain technology has greatly changed people's daily lives
from financial market to healthcare field. Today, adulterated images appear in large …
from financial market to healthcare field. Today, adulterated images appear in large …
Variational-Based Spatial–Temporal Approximation of Images in Remote Sensing
M Amirfakhrian, FF Samavati - Remote Sensing, 2024 - mdpi.com
Cloud cover and shadows often hinder the accurate analysis of satellite images, impacting
various applications, such as digital farming, land monitoring, environmental assessment …
various applications, such as digital farming, land monitoring, environmental assessment …
GCM-Net: Towards effective global context modeling for image inpainting
Deep learning based inpainting methods have obtained promising performance for image
restoration, however current image inpainting methods still tend to produce unreasonable …
restoration, however current image inpainting methods still tend to produce unreasonable …
Image inpainting using Wasserstein generative adversarial imputation network
D Vašata, T Halama, M Friedjungová - International Conference on …, 2021 - Springer
Image inpainting is one of the important tasks in computer vision which focuses on the
reconstruction of missing regions in an image. The aim of this paper is to introduce an image …
reconstruction of missing regions in an image. The aim of this paper is to introduce an image …
Image Fusion in Remote Sensing: An Overview and Meta Analysis
Image fusion in Remote Sensing (RS) has been a consistent demand due to its ability to turn
raw images of different resolutions, sources, and modalities into accurate, complete, and …
raw images of different resolutions, sources, and modalities into accurate, complete, and …
Label freedom: Stable diffusion for remote sensing image semantic segmentation data generation
Remote sensing image semantic segmentation of land use, benefitted from the development
of deep learning and consequently made considerable progress in terms of inferencing …
of deep learning and consequently made considerable progress in terms of inferencing …
Boundary precedence image inpainting method based on self-organizing maps
H Pen, Q Wang, Z Wang - Knowledge-Based Systems, 2021 - Elsevier
In addition to text data analysis, image analysis is an area that has increasingly gained
importance in recent years because more and more image data have spread throughout the …
importance in recent years because more and more image data have spread throughout the …
Dual‐tree complex wavelet transform and super‐resolution based video inpainting application to object removal and error concealment
Video inpainting is a technique that fills in the missing regions or gaps in a video by using its
known pixels. The existing video inpainting algorithms are computationally expensive and …
known pixels. The existing video inpainting algorithms are computationally expensive and …