I’m currently working on a pet project I call Night Camera iOS App. It aims at making it possible to shoot photos of appropriate quality in low light conditions. My use case is taking a photo of my sleeping kids. They are so cute when asleep but don’t like it when I use a flashlight on my phone.

Right now I managed to implement a great Intro to Python Image Processing in Computational Photography. It’s about enhancing a series of still dark images in Python using OpenCV. What I did is put that idea into an iOS app, getting the images in realtime using the videocamera. The implementation is in C++, hosted as a repo on Gitlab.

I’ll write a detailed post about the first version in a separate post. Now to results. They aren’t quite exciting now. To put it short:

The difference is largely due to the fact I used medium quality of the images from the videocamera. High-resolution images are very large and are processed quite slowly.

Next I’d like to try:

• Add processing properties controlls to experiment faster.
• Try to get higher image resolutions