image-procesing

A modern, simple and zero-dependency photo picker with an elegant and customizable image editor

Raster to Vector Graphics Converter

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full

Document scan SDK example app for the Scanbot SDK for React Native.

Single Image Reflection Removal based on GAN with Gradient Constraint (GCNet)

Recognition of the images includes train and tests based on Python.

A simple CNN network with residual connections as a Generator to improve details of images in cooperation with two Discriminators.

Recognition of the images with artificial intelligence includes train and tests based on Python.

The assignments and projects on Digital Image Processing

Removal of random valued impulse noise using DTBDM algorithm - Identifies corrupted pixels in an image and corrects them based on neighboring values using non-linear filtering i.e., Modified decision based median filtering along with an impulse detector. • Displays edge preserving-enhancing abilities resulting in better contrast and color mapping. See project Removal of random valued impulse noise using DTBDM algorithm | MATLAB | Image processing

An indexed color palette implementation in Go on top of a k-d tree for fast color lookups. Also rank a palette against an image to identify prominent colors.

Flask Web Interface to deploy ManTraNet and BusterNet for testing image manipulations

Convoluted Neural Network for classifying the FashionMNIST data set. Recognition of multiple clothing objects on the same picture with noise using the trained model and OpenCV.

Classification of CIFAR-10 images with a convolutional net.

Output CSV file of lumas of sequential image files