Skip to content

Latest commit

 

History

History
17 lines (14 loc) · 1.04 KB

README.md

File metadata and controls

17 lines (14 loc) · 1.04 KB
Raw

Learning From Images and Signals

Introduction

This repository contains implementations for Theory and Application of images and signals, including:

  • Image Inpainting: When an image has missing sections, we can attempt to fill in those in such a ways as to at least make the image plausible.
  • Nyquist and signals from samples: How sampling at a a rate that equals or exceeds the highest frequency in the signal ensures that we can recover the signal from the samples.
  • Finding signals in noise: Using the the non-local means method to denoise the image by smoothing the it, but preserves edges and small details.

Directory Structure

Folder Name Algorithm
Denoising Performs image extraction/ scald rating on Granny Smith apple images.
FourierDenoising Configures Mask-RCNN to use for Granny.
FourierTechniques Sets up to run Granny using the command line.
PQ_Denoising Sets up to run Granny using the command line.
PQ1_Denoising Sets up to run Granny using the command line.