Recoloring NoIR images on the Raspberry Pi with OpenCV

Not too long ago I've been gifted a Raspberry Pi camera, after taking some pictures I realized that it produced very weird colors and I discovered that it was a NoIR camera! It means that it has no infrared filter and that it can take pictures in the darkness using an infrared LED. Since I never found an application that required taking pictures without proper lighting I started wondering if I could recolor the images processing them with some Python magic. While it's clear that the problem is ill posed, once the camera takes a picture sensing the wrong colors, the original colors are lost. It's also true that it's possible to transfer the coloring from one image to another. This, old but gold, paper shows a technique that is simple enough to be implemented on a pi. Hence, the idea to create a script that recolors the images from the NoIR camera using the colors from images taken with a proper infrared filter.

Here are the elements I gathered to start experimenting:

• A nice implementation of the color transfer algorithm , easy to install and run on the pi.
• An installation of OpenCV on the pi. It's possible to have a fully optimized OpenCV installation for your pi building it from the source but for this project it's okay to install the library from binaries (this command will do the trick: sudo apt-get install python-opencv ).
• A camera stand that I built myself recycling the components of an unused usb fan.

The Python script to acquire and recolor the images turned out to be pretty compact:

from picamera.array import PiRGBArray
from picamera import PiCamera
from sys import argv
# get this with: pip install color_transfer
from color_transfer import color_transfer 

import time
import cv2

# init the camera
camera = PiCamera()
rawCapture = PiRGBArray(camera)

# camera to warmup
time.sleep(0.1)

# capture
camera.capture(rawCapture, format="bgr")
captured = rawCapture.array

# import the color source
color_source = cv2.imread(argv[1])

# transfer the color
result = color_transfer(color_source, captured,
                        clip=True, preserve_paper=False)

cv2.imwrite(argv[2], result)

This script captures an image from the camera and reads another image, that will be the color source, from the disk. Then, it recolors the captured image and saves the result. The script takes in input two parameters, the color source and the name of the file in output. Here's an example of how to run the script on the pi:

$ python capture.py color_source.jpg result.jpg

Here are some samples pictures that were recolored. In each of the figures below there is the color source on the left, the image from the NoIR camera in the middle and final result on the right.

Here the source has vivid colors and the details are nice and sharp while the image from the NoIR camera is almost monochromatic. In the recolored image the color of the curtain and the wall were recovered, still the image has quite a low contrast.

This time the resulting image is much sharper and the resulting colors are more intense, even more intense than the source.

This result is particularly interesting because the NoIR image shows very nasty colors as there was quite a lot of sunlight when the picture was taken. Recoloring the image I could recover the green of some trees and the blue of the sky, however the walls and the ground got a greenish appearance while some plants look purple.

In conclusion, this turned out to be a fun experiment that also provided some encouraging results. Next step? Recoloring the images with, more modern, Deep Learning techniques.