Day 96 – Facing Image Region Missing On Your Photo? Let’s Check The Image On Missing Pixel Filler
Gopi Chandrakesan
?? Project Manager/Solution Architect ?? Blogger on SAP, ?? Artificial Intelligence, ?? Machine Learning, and ?? Deep Learning ?? Ask me about Data Intelligence
We have old or new photos with missing image regions on the corner, and then we would go to the Photoshop tool to fix it.
It is a tedious job and costs you some dollars to fix the photos which you love.
Today, Artificial Intelligence can fix your image wherever image missing the region for you.
We will check Missing Pixel Filler how it works and fix missing image regions.
What is Missing Pixel Filler?
Missing Pixel Filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled. These regions of missing data are filled using a dynamic method that incorporates randomly chosen, non-null neighboring pixels. The missing data filling algorithms can be changed according to user preferences.
Source: Missing Pixel Filler
What are functions available in Missing Pixel Filter?
Filling Method 1
Filling Method 2
Filling Method 3
Let’s check the code in Google Colab and check the code here.
Cited:
@article{cao2020swathgaps,
title={Reducing?Effects?of?Swath?Gaps?in?Unsupervised?Machine?Learning},
author={Chen, Sarah, and Cao, Esther and Koul, Anirudh and Ganju, Siddha and Praveen, Satyarth and Kasam, Meher Anand},
journal={Committee?on?Space?Research?Machine?Learning?for?Space?Sciences?Workshop},
year={2021}
}