  This paper introduces a novel method for RGB-Guided Resolution Enhancement of
infrared (IR) images called Guided IR Resolution Enhancement (GIRRE). In the
area of single image super resolution (SISR) there exists a wide variety of
algorithms like interpolation methods or neural networks to improve the spatial
resolution of images. In contrast to SISR, even more information can be
gathered on the recorded scene when using multiple cameras. In our setup, we
are dealing with multi image super resolution, especially with stereo super
resolution. We consider a color camera and an IR camera. Current IR sensors
have a very low resolution compared to color sensors so that recent color
sensors take up 100 times more pixels than IR sensors. To this end, GIRRE
increases the spatial resolution of the low-resolution IR image. After that,
the upscaled image is filtered with the aid of the high-resolution color image.
We show that our method achieves an average PSNR gain of 1.2 dB and at best up
to 1.8 dB compared to state-of-the-art methods, which is visually noticeable.
