image down-sampling technique using the Fast Fourier Transform (FFT) method in Python and MATLAB

Scalable Neuroglancer compatible Downsampling, Meshing, Skeletonizing, Contrast Normalization, Transfers and more.

A project on Image Processing, leveraging PyQt5 for a user-friendly GUI and implementing essential operations like Low Pass Filter, Downsampling, Upsampling, Thresholding, and Negative Image Generation. It offers a visually engaging experience while exploring the realm of image processing techniques.

Dive into the world of Signal and Image Processing with this repository. Explore a collection of Python programs covering Discrete Fourier Transform, Elementary Signals, Sampling, Point Processing Techniques, Histogram Processing, Frequency Domain Filtering, Edge Detection, Erosion and Dilation, and Morphological Operations.

High-performance time series downsampling algorithms for visualization

PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.

A library for real-time voice processing in web browsers

SYLENS: Sampling Yielding LEss Noticeable Samples

Exploring texture image processing with the Kylberg Texture Dataset, this project involves preprocessing, learning-free classification, and a multilayer perceptron. Metrics evaluate performance and compare methods. It was part of my uOttawa Master's in Computer Vision (2023).

Downsample 24-bit FLAC files to 16-bit

Handy DSP routines

Extended AsyncImage to perform down sampling when downloading image

A moiré-free image resizing script for Photoshop

Simple sinc interpolation in PyTorch.

A PCM-Based Vocoder/Decoder, a voice codec software based on PCM of voice signals to send over data network, whose quantizer provides both mid-rise and mid-tread quantization techniques, and an encoder with both Manchester and AMI signaling, providing the concept of AWGN channel, in addition to regenerative repeaters.

Technical audit of Automated Decision System for Fairness and Bias

Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023

The objective is to build various classification models, tune them and find the best one that will help identify failures so that the generator could be repaired before failing/breaking and the overall maintenance cost of the generators can be brought down.

MinMax-preselection for Efficient Time Series Line Chart Visualization (using LTTB)

Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)