Information Technology Connection Graphics Concept

Experiencing

Experiencing

Participants

Prof. Graham Finlayson (CMP)

Prof. Michal Mackiewicz (CMP)

Summary

As well as being interested in computer vision systems the colour & imaging lab investigates how we ourselves see and, moreover, we study the interplay between machine and human vision (often it is important that vision systems solve problems like we do). Developing a representation of the colour of common lights we need to understands the physics of light formation and the human visual response [1]. The simply-posed problem of finding clusters of colours in images has depth and complexity because in many applications we seek the important colours that we see [2]. Finally, we have an enduring interest in developing systems that see colours like we do [3].

abstract neon lights wonder wheel

Funding

EPSRC
Future Colour Imaging

Partners

university of leeds
Newcastle university
Datacolor

Publications

[1] E. Daneshvar, G.D. Finlayson and M.H. Brill, "Introducing a temperature adjustment to make Wien’s law a more accurate approximation of Planckian blackbody radiation in the visible range", Optics Express 33 (5), 11956-11971, 2025.

[2] S Westland, G Finlayson, P Lai, Q Pan, J Yang, Y Chen. "A computational method for predicting color palette discriminability", Color Research & Application 49 (5), 465-473, 2024.

[3] G.D. Finlayson, M. Mackiewicz, A. Hurlbert. "Color correction using root-polynomial regression", IEEE Transactions on Image Processing 24 (5), 1460-1470, 2015.

Experiencing