litterbaiz's Stars
patrickcurrie/matchvid
A command-line tool for detecting matching keyframes across distinct videos, powered by discrete wavelet transform.
KABIR-VERMA/Pyramids-and-Wavelets
Use of image pyramids and wavelet transforms for various applications including seamless blending, edge-preserving denoising, and image compression.
yumiaoGitHub/vedio_wavelet
batch processing vedios or images with wavelet transform
jmanu12/Advanced-methods-for-processing-nonlinear-and-non-stationary-time-series
Time-series analysis using Wavelet and Hilbert transform
gautam213/Statistical-Block-Based-feature-extraction-
Feature extraction using Wavelet transform and Block Based Statistics
guoyii/Emotion-ECG
Ecg experiment, including Fourier transform, wavelet transform, wavelet decomposition and LSTM feature extraction. Emotion classification experiment based on ecg signal.
abhinavnatarajan/image-inpainting-denoising
Wavelet transforms, L1 regularisation and modified gradient methods to inpaint and denoise images.
ramanpreetSinghKhinda/CSE_573_Wavelet_Edge_Detection
Wavelet transform based scheme for edge detection
Ravi1511/Background-Subtraction
Using Gaussian Mixture Model on openCV to subtract background from video
mcauduro/Background-Substraction-using-GMM
Implementation of Background Substraction using Gaussian mixture model and using OpenCV library.
leeamen/gaussian_mixture_model
GMM算法,EM算法,聚类
am121991/CompVisDemos
Implementation of the Susan Edge detection, SIFT and Waterflow edge detection algorithms, ELEC6024 Coursework
bhavesh-kharat/Feature-Extraction-and-Character-Recognition-using-Hu-Moments
adailtonjn68/hu_moments_in_python
This program computes Hu's moments invariant on scale and rotation of a discrete image f(x,y) in python. It can be used with python standard arrays and, also, with numpy arrays.
koyukan/Brute-Force-Template-Matching-Invariant-to-Rotation
sepidsh/image_denoising_bm3d
animanamit/NLmeans
Implementation of Buades et al. Non-local means algorithm for image de-noising
welintonandrey/3d_denoising
A NEW denoising method that combines 3D Non-Local Means, LBP-TOP (local binary patterns on three orthogonal planes) and MSB (Most Significant Bit)
leo9344/A-non-local-algorithm-for-image-denoising-
NL-means-algorithm-for-image-denoising
varshilgandhi/What-is-non-local-means-denoising
In this Repository , You will learn about non local means denoising using digital image filtering and convolution.
RishabhS66/Non-Local-Means-Filter
Mahmoud-Ali-FCIS/Non-Local-means-filter
Non-local mean filter is an algorithm in image processing for image denoising. Like other algorithm, it based on the basic remark: denoising is achieved by averaging.
apurvmmmec/Non-LocalMeans-ImageDenoising
This repository has code for Image Denoising using Non-Local Means and Integral Images. Non-Local Means takes into account the global information of image and computational efficiency of Integral Images.
vittorione94/Non-Local-Means
Non Local means denoising algorithm
zhangprofessor/fast-Non-local-Means-and-Asymptotic-Non-local-Means
Non-Local means denoising (NLM) algorithm is a milestone algorithm in the field of image processing. The proposal of NLM has opened up the non-local method which has a deep influence. This paper performed a revisit for NLM from two aspects as follows: 1. To alleviate the high computational complexity problem of NLM, a fast algorithm was constructed, which was based on cross-correlation and fast Fourier transform; 2. NLM always blur structures and textures during the noise removal, especially in the case of strong noise. To solve this problem, an Asymptotic Non-Local Means image denoising algorithm is put forward, which uses the property of noise variance to control the filtering parameters. Numerical experiments illustrate that the fast algorithm is 27 times faster than classical implementation with standard parameter configuration, and the ANLM uniformly outperforms classical NLM, in terms of both PSNR and visual effects.
gkh178/noise-adaptive-switching-non-local-means
Aiming at the removal of salt-and-pepper noise, a noise adaptive switching non-local means denoising algorithm (NASNLM) is proposed in this program. For noise detection, the pixels of image are divided into the noise and the non-noise points. For filtering, four different filtering techniques are adopted: switching filtering, noise adaptive median filtering, edge-perserving filtering and non-local means filtering. Switching filtering can keep the gray-value of non-noise points unchanged. Noise adaptive median filtering can suppress the high-density salt-and-pepper noise. Edge-preserving filtering can preserve more image edges and details. Non-local means filtering can further improve the ability of noise suppression and detail maintenance. Experiments demonstrate that for removal of the high-density salt-and-pepper noise by NASNLM algorithm, a better denoising effect is obtained than other methods.
penny4860/Vehicle-Detection
I implemented Vehicle Detection and Tracking algorithm using HOG, SVM, and Kalman filter. This is Udacity Self-Driving CarND Term 1 Project 5: Video for vehicle detection and tracking.
lreithmayr/BallTracker
Kalman filter for state estimation, OpenCV for tracking. Can track live webcam feed and video (pretty well, depending on video).
RollingOat/rotation-tracking-with-unscented-kalman-filter
sgoutham2409/Kalman_filter_object_tracking
A simple Kalman filter implementation in Python to estimate the position of an object based on the noisy acceleration model