Android photo editing app with various filters and tools. Included advanced features like masking, histogram, color picker, EXIF viewer...

This repository contains projects related to various aspects of image processing, from basic operations to advanced techniques like active contours. Examples and case studies focus on applications in medical imaging.

cpp implementation for algorithms in the book "digital image processing and computer vision"("数字图像处理与机器视觉-Visual C++与Matlab实现")

🖼️ This repository contains ready to run code for the following image processing techniques: Image Gradient, Image Smoothness, Image Histogram (Intensity Histogram) and Structural Similarity Index Measure (SSIM) of Two Images

A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilash1910/nlp-workshop-ml-india-deep-graph-learning to apply GNNs/node embeddings on NLP task.

Implementation of various image processing methods from scratch in python.

Online Image processing with GPU in Shazam,you can Use it in C#

Python code to convert hand drawn sketches into abstract art using GANs

Implementation of Popular Digital Image Processing Filtering Operations

GPU-based implementations of some computer vision algorithms.

C++ implementation of some popular filters used for Edge Detection.

In this repo, we will implement digital image processing examples with matlab.

Implement Laplacian filtering to achieve edge detection.

A Python-based project to apply cartoon-style filters to images.

Java edge detection application with the possibility of using the filters: Prewit, Sobel, Roberts and Laplacian.

Sharpening Spatial filtering using Laplacian Filter

Applying some filters from scratch on a noisy image (salt & pepper noise) to remove the noise and apply other sharpening filters (first order derivative filters {perwitt, sobel}) & (second order derivative filters{laplacian , LOG}) for edges detection

explores various edge detection techniques, focusing on detecting facial features using different filters

This Python app can apply multiple filters on the image like Clustering(K-means), Band Reject, Histogram Equalization, Blur, Laplacian, Sharpen or can change the Image Brightness or Display Image histogram.

Preprocessing images