The purpose of this project was to build an algorithm that can understand a small library of 10 simple commands while being able to ignore, or distinguish from, unknown commands. I submitted this work for the Udacity Machine Learning Engineer Nanodegree in June 2018.

JPEG compression implemented using the discrete-cosine transform

Digital Image Reconstruction

[Under Construction]A collection of experimental results of various image / video / point cloud processing algorithms

Repository for all the codes created during Digital Image Processing course at SEAS, Ahmedabad University during Winter 2018 (Semester 6).

A tool for instrument recognition.

Algorithm compresses image by taking diagonal averages of pixels and storing every four pixels in one pixel which reduces size significantly. Most images tested don't lose more than 2%. Decompression algorithm implemented too. Have fun trying it with the display in a ssh -X. Make sure you install X-quartz :)

Assignment solutions for the course CS754 Advanced Image Processing, Spring 2024 at IIT Bombay

Image compression using the discrete cosine transform

Code to run experiments on recovering corrupted images using the Discrete Cosine Transform and Lasso Regression

Estudo e comparação de técnicas de compressão de imagens baseadas na Transformada Discreta de Cosseno (Discrete Cosine Transform)

Image Processing course including Discrete Cosine Transform, Prinicpal Component Analysis, and Fast Fourier Transforms

Diskretna kosinusna transformacija

Digital signal processing algorithms implemented in TypeScript.

A steganography tool to hide text into images, based on discrete cosine transform and random image augmentation

JPEG compression algorithm with chroma subsampling 4:2:0, 2D DCT and 2D IDCT transformations, and quantization of DCT coefficients.

Image Watermarking using Discrete Cosine Tranformation