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an-improved-nlm-image-denoising-algorithm-based-on-edge-detection

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.

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

awesome-stereo-image-sr

A Collection of Papers and Datasets for Stereo Image Super-Resolution

awesome-super-resolution

A curated list of awesome super-resolution resources.

awesome-super-resolution-1

Collect super-resolution related papers, data, repositories

bayesian_vid_sr

implementation of a bayesian video super-resolution

bm3d

caffe

Caffe: a fast open framework for deep learning.

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

chainer-fast-neuralstyle

Chainer implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

cnngeometric_matconvnet

CNNGeometric MatConvNet implementation

cvkit

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.

dasr

Coming soon!

dctdenoising

deeplearningbook-chinese

Deep Learning Book Chinese Translation

depth-super-resolution

Depth Super-Resolution for MATLAB

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

dpp

Detail Preserving Pooling

dpsr

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks

falsr

Fast, Accurate and Lightweight Super-Resolution models

fasta-matlab

A Matlab library for solving optimization problems with forward-backward splitting

fastdensefeaturematchingmodel

a fast dense feature matching model for pushbroom remote sensing stereo images

fourier-deconvolution-network

Code for ICCV 2017 paper "Learning to Push the Limits of Efficient FFT-based Image Deconvolution" (Jakob Kruse, Carsten Rother, and Uwe Schmidt)