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image-augmentation

A matlab script that used to create multiple versions new images from the original one, including 'Gaussian noise', ''Speckle noise", "Poisson" and "smooth by Gaussian filter".

image-autostitch

This project is the source code of my thesis for master's degree

image-classification

Image classifier using Tensorflow.js (a javascript library)

image-classifier-in-javascript

Deploy image classifier on a static website using javascript.

image-denoising

Image de-noising through symmetric, bell-shaped, and centered weighted median filters based subband decomposition

image-denoising-1

This project deals with zero-mean white gaussian noise removal method using a high-resolution frequency analysis. It is hard to separate an original image component from a noise component when using discrete Fourier transform or discrete cosine transform for analysis because sidelobes occur. These sidelobes are removed in this project by using median filters.

image-denoising-using-notch-filter-and-inverse-filtering

To Notch the noise component in the image given and perform inverse filtering

image-enhancement

Images captured by cameras may contain distortions due to imperfections in lens and CCDS which results in Image blur, warping and addition of noise. In this project, we did some research and performed the Inverse filtering technique to get a better enhanced image. The inverse filters are designed based on the blur and noise spectrum

image-filtering

Using weighted mean filtering and median filtering to filter Gaussian/Impulse noise in images.

image-filtering-library

This library includes a set of image de-noising and enhancing filters

image-fusion

Infrared image and visible image fusion use the MATLAB

image-fusion-with-vsm-and-wls

Infrared and visible image fusion based on visual saliency map and weighted least square optimization

image-harmonization-dataset-iharmony4

The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for image harmonization, image composition, etc.

image-homomorphic-filter

Homomorphic filtering is a generalized technique for signal and image processing, involving a nonlinear mapping to a different domain in which linear filter techniques are applied, followed by mapping back to the original domain.

image-inpainting

Research project on topic of inpainting(https://en.wikipedia.org/wiki/Inpainting)

image-js

Image processing and manipulation in JavaScript

image-noise-reduction-through-the-applications-of-linear-and-non-linear-filters

Image processing

image-noise-reduction-using-matlab

We're going to use two of the most famous filters Median & Order-Statistics

image-quality-master

image-restoration-deep-learning

Restoring images of damaged paintings using in-painting. Damaged paintings have discolored patches where the paint has faded or fallen off. This project uses image in-painting to fill and restore these lost regions. The models include context-encoders, GANS, conditional GANS and pixel diffusion.

image-restoration-using-wiener-filer

Consider an image corrupted by both additive Gaussian noise and defocus blur. The algorithm is designed in such a way to restore the image making it less noisy and less blurry by making a wiener filter. The algorithm has been evaluated using some quality metrics.

image-segementation-using-lm-filters

Segments image using LM filters and K Means

image-segmentation

image segmentation using K-means and K-means++ algorithm.

image-segmentation-k-means-clustering

image-segmentation-kmeans

Basic image segmentation & compression using K-Means clustering

image-segmentation-using-active-contours-and-k-means

image-segmentation-using-epso-algorithm-based-on-neuro-fuzzy-inference-system

Tumor analysis in breast cancer using swarm optimization algorithm with ANFN

image-segmentation-using-k-means

K-means algorithm is an unsupervised clustering algorithm that classifies the input data points into multiple classes based on their inherent distance from each other.

image-segmentation-using-k-means-clustring

Trying Image Segmentation Using k-means clustering and normalized cut k-means clustring

image-sequencer

Prototype sequential image processing system, inspired by storyboards