Rafał Mantiuk *

UBC Computer Science -> Rafał Mantiuk -> Research interest

This is a brief overview of the topics I am interested in.

Display algorithms: tone, color and enhancement

Tone-mapping teaser

Digital photographs look quite realistic on a computer screen, although they are not as bright, they have lower contrast and different colors than the the real-world scenes. The visual system can tolerate a significant mismatch between the reproduced scened and the original. The understanding of these apects of the visual system let us create better algorithms for tone and color reproduction, and image enhancement.

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High Dynamic Range Image and Video Compression

HDR compression teaser

Commonly used image and video formats encode visual information using 8-bit per color channel. Such representation, although suitable for typical LCD or CRT monitors, is unsufficient for next generation of high-dynamic range displays. To overcome the limitations of the existing image encoding formats, we extended existing formats to efficiently encode all visual information that the human eye can see: luminance levels from star light to sun light and complete color gamut.

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Image quality metrics and visual models

Quality and visual modeling teaser

Visual difference metrics can predict whether differences between two images are visible to the human observer or not. Such metrics are used for testing either visibility of information (whether we can see important visual information) or visibility of noise (to make sure we do not see any distortions in images, e.g. due to lossy compression). We introduce a High Dynamic Range Visible Difference Predictor, which can work within the complete range of luminance the human eye can see and therefore, unlike the other visible difference metrics, can be used for the full range of lighting conditions that can be met in real-word situations.

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Last modified: Sun Feb 1 00:47:42 PST 2009