Codetown ::: a software developer's community
Welcome to Kotlin Thursdays! Last week, we were able to render an image with TornadoFX and even manipulate its pixels. Today, we will go over Pixel Math!
Think of these resources as supplemental if you happen to be more curious. We always encourage looking into documentation for things you use!
Last week, we got the hang of how to grab these pixels and do something with them. Today, we're going to expand by creating our own filters using operational pixel manipulation.
For all practical purposes, we're going to be talking about monochromatic images. If we try to write filters using colored pixels, it will prove a lot more difficult to work with RGB values as opposed to just black or white.
Best we learn to walk before we start trying to fly!
In order to create our own image filters, we need to have a solid understanding of pixel math, or binary operations.
Binary operations are the bread and butter of computers! You can compute operations on binary values 1 and 0.
AND - both inputs must be true for the output to be true
0 && 0 = 0
0 && 1 = 0
1 && 0 = 0
1 && 1 = 1
OR - one or both inputs must be true for the output to be true
0 || 0 = 0
0 || 1 = 1
1 || 0 = 1
1 || 1 = 1
NOT - inverse result
!0 = 1
!1 = 0
!(0 && 0) = 1
!(1 || 1) = 0
Likewise, if we assign the color BLACK to 1 and the color WHITE to 0, we can easily apply binary operations to to the binary values black and white. Working with colors gets significantly more difficult when there are RGB values to consider. There are other binary operations like XANDS, XORS, and XNORS, but for now, let's just focus on the first three.
Now that we understand how OR, AND, and NOT works, let's implement these functions with colors.
fun or (a: Color, b: Color) {
return if (a == Color.BLACK || b == Color.BLACK) {
Color.BLACK
}
else { Color.WHITE
}
fun and (a: Color, b: Color) {
return if (a == Color.BLACK && b == Color.BLACK) {
Color.BLACK
} else {
Color.WHITE
}
}
fun not (color: Color) {
return if (color == Color.BLACK) Color.WHITE else Color.BLACK
}
You'll notice that these functions are for pixel colors only. Next week, we look into higher-order functions in Kotlin to learn how we can pass functions as a parameter - but you'll welcome to check out the video to see how we can apply one of these primitive filters to our images! See you next week :)
Tags:
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Check out the Codetown Jobs group.

Grab updated its internal platform to monitor Apache Kafka data quality in real time. The system uses FlinkSQL and an LLM to detect syntactic and semantic errors. It currently tracks 100+ topics, preventing invalid data from reaching downstream users. This proactive strategy aligns with industry trends to treat data streams as reliable products.
By Patrick Farry
Serving Large Language Models (LLMs) at scale is complex. Modern LLMs now exceed the memory and compute capacity of a single GPU or even a single multi-GPU node. As a result, inference workloads for 70B+, 120B+ parameter models, or pipelines with large context windows, require multi-node, distributed GPU deployments.
By Claudio Masolo
Karrot replaced its legacy recommendation system with a scalable architecture that leverages various AWS services. The company sought to address challenges related to tight coupling, limited scalability, and poor reliability in its previous solution, opting instead for a distributed, event-driven architecture built on top of scalable cloud services.
By Rafal Gancarz
Sharing your work as a software engineer inspires others, invites feedback, and fosters personal growth, Suhail Patel said at QCon London. Normalizing and owning incidents builds trust, and it supports understanding the complexities. AI enables automation but needs proper guidance, context, and security guardrails.
By Ben LindersThe article shares goals and strategies for scaling cloud and distributed applications, focusing on lessons learned from cloud migration at Chase.com at JP Morgan Chase. The discussion centers on three primary goals and the strategies addressing the goals, concluding how these approaches were achieved in practice. For those managing large-scale systems, these lessons provide valuable guidance!
By Durai Arasan
© 2025 Created by Michael Levin.
Powered by