Perceptually accurate display of two greyscale images as a single colour image.
Aaron TaylorM S IoannouT WatanabeK HahnT-L ChewPublished in: Journal of microscopy (2017)
Life scientists often desire to display the signal from two different molecular probes as a single colour image, so as to convey information about the probes' relative concentrations as well as their spatial corelationship. Traditionally, such colour images are created through a merge display, where each greyscale signal is assigned to different channels of an RGB colour image. However, human perception of colour and greyscale intensity is not equivalent. Thus, a merged image display conveys to the typical viewer only a subset of the absolute and relative intensity information present in and between two greyscale images. The Commission Internationale de l'Eclairage L*a*b* colour space (CIELAB) has been designed to specify colours according to the perceptually defined quantities of hue (perceived colour) and luminosity (perceived brightness). Here, we use the CIELAB colour space to encode two dimensions of information about two greyscale images within these two perceptual dimensions of a single colour image. We term our method a Perceptually Uniform Projection display and show using biological image examples how these displays convey more information about two greyscale signals than comparable RGB colour space-based techniques.
Keyphrases
- deep learning
- convolutional neural network
- optical coherence tomography
- depressive symptoms
- physical activity
- endothelial cells
- small molecule
- machine learning
- social support
- health information
- preterm infants
- single molecule
- magnetic resonance imaging
- magnetic resonance
- mass spectrometry
- computed tomography
- induced pluripotent stem cells