leng123ku Goto Github PK
Type: User
Type: User
Aiming at the removal of gaussian noise, we systematically analyze the shortage of non-local means image denonising algorithm (NLM), finding it is easy to lose structure information when dealing with the image containing complex edges and textures by NLM algorithm. In order to solve this problem, a non-local means image denoising based on edge detection is proposed in this thesis. The innovation of the proposed algorithm is mainly manifested in the following : (1) An improved Sobel operator with eight directions is proposed to extract a more accurate edge image; (2) To make the neighborhoods with similar structure obtain more weight, not only the Euclidean distance but also the edge image are considered when the similarity of neighborhoods is measured. Many experiments demonstrate that in both subjective and objective evaluation principles the performance of the improved algorithm has a good effect, and the visual effect of the denoised image is good.
Web interface for browsing, search and filtering recent arxiv submissions
😎 Awesome lists about all kinds of interesting topics
A list of papers and datasets about point cloud analysis (processing)
List of satellite imagery datasets with annotations for computer vision and deep learning
A Collection of Papers and Datasets for Stereo Image Super-Resolution
A curated list of awesome super-resolution resources.
Collect super-resolution related papers, data, repositories
implementation of a bayesian video super-resolution
Caffe: a fast open framework for deep learning.
A Caffe-based implementation of very deep convolution network for image super-resolution
Chainer implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".
Learning Convolutional Neural Networks with Interactive Visualization.
CNNGeometric MatConvNet implementation
Computer Vision Toolkit. cvkit is available for Linux as well as for Windows. It offers useful tools for viewing and analyzing images and 3d models.
Coming soon!
Deep Learning Book Chinese Translation
Depth Super-Resolution for MATLAB
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Detail Preserving Pooling
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks
Fast, Accurate and Lightweight Super-Resolution models
A Matlab library for solving optimization problems with forward-backward splitting
a fast dense feature matching model for pushbroom remote sensing stereo images
Code for ICCV 2017 paper "Learning to Push the Limits of Efficient FFT-based Image Deconvolution" (Jakob Kruse, Carsten Rother, and Uwe Schmidt)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.