Day 96 – Facing Image Region Missing On Your Photo? Let’s Check The Image On Missing Pixel Filler

Day 96 – Facing Image Region Missing On Your Photo? Let’s Check The Image On Missing Pixel Filler

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

  • fill_swath_with_random_rgb(img) – Selects pixel values from a random Gaussian distribution to fill missing pixel values.

Filling Method 2

  • fill_swath_with_random_pixel_from_image_new(img) – Fills swath gap with a random pixel from a non-missing portion of data.
  • get_random_pixel_from_image(x_arr, y_arr) – Selects other pixel values from non-missing portions of the image.

Filling Method 3

  • fill_swath_with_neighboring_pixel(img)?– Fills “dynamic” system to fill swath, with nearest pixels having a higher probability of selection.
  • get_neighboring_pixel()?– Selects pixel values from non-missing portions of the image to fill missing pixel values with probability inversely proportional to distance.

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}

}

Continue reading...

Further Reading

Posts on?Artificial Intelligence,?Deep Learning,?Machine Learning, and?Design Thinking?articles:

Autonomous Vehicle Environment Perception Task By Pandas Team

Deep Learning Basics: Introduction, Concepts, and Overview

TextStyleBrush by Facebook AI Research Team

Watercolor Painting Under 5 Mins Using Stylized Neural Painting Artificial Intelligence

Marker Pen Painting Under 5 Mins Using Stylized Neural Painting Artificial Intelligence

Detail Sentence Analyzer Using spaCy Natural Language Processing – Part II

Named Entity Recognition Using spaCy Natural Language Processing – Part III

AI Converts Your Photo Or Video Selfie To Animation – GANsNRoses

Artificial Intelligence Chatbot Using Neural Network and Natural Language Processing

Tensorflow Sobel Filter Image Processing and Computer Vision

Oil Painting Under 5 Mins Using Stylized Neural Painting Artificial Intelligence

COCO Keypoint Detection Detectron2 Computer Vision by Facebook AI Research (FAIR)

Translate 125 Plus Languages Using Google Artificial Intelligence – Part 1

Translate 125 Plus Languages Using Google Artificial Intelligence – Part 2

Posts on SAP:

How to Transform Your Business with SAP Data Intelligence?

SAP AI Business Services – Business Entity Recognition

SAP AI Business Services – Document Information Extraction

SAP AI Business Services – Service Ticket Intelligence

SAP Intelligent Robotic Process Automation, Use Case, Benefits, and Available Features

SAP Conversational AI

SAP AI Business Services

要查看或添加评论,请登录

社区洞察

其他会员也浏览了