Optimize image processing on Android using Halide
Introduction
Install and configure Halide for Arm development
Build a simple camera image processing workflow
Apply operator fusion in Halide for real-time image processing
Generate optimized Halide pipelines for Android using ahead-of-time cross-compilation
Integrate Halide into an Android project with Kotlin
Next Steps

  Log an issue

  Fork and edit

  Discuss on Discord

About this Learning Path

Skill level:  Introductory
Reading time:  3 hrs
Last updated:  17 Jun 2026
Skill level:
  Introductory
Reading time:
  3 hrs
Last updated:
  17 Jun 2026
Authors:Éliás Bálint, Arm
Dawid Borycki
Steve Suzuki, Arm
Arm IP:Cortex-A Cortex-X
Tags: Performance and Architecture Android Android Studio Halide CPP Kotlin Android Studio CMake
Authors:
  • Éliás Bálint, Arm
  • Dawid Borycki
  • Steve Suzuki, Arm
Arm IP:
Cortex-A Cortex-X
Tags:
Performance and Architecture Android Android Studio Halide CPP Kotlin Android Studio CMake

Who is this for?

This is an introductory topic for developers interested in learning how to use Halide for image processing.

What will you learn?

Upon completion of this Learning Path, you will be able to:

  • Learn the basics of Halide and set up your development environment
  • Build a simple real-time image processing pipeline with Halide
  • Make your image processing faster by combining operations in Halide
  • Use Halide pipelines in Android apps written with Kotlin

Prerequisites

Before starting, you will need the following:

  • Basic C++ knowledge
  • Android Studio with Android Emulator
Next