Summer School Program Speakers

Summer school Program speakers:

Lou Gevaux, LNE - Conservatoire National des Arts et Métier, Paris (France)

Metrological challenges in HDR imaging for luminance measurement

Abstract:
Radiometry, photometry and colour science for lighting.
Applications in lighting require understanding, characterizing, measuring and modelling the geometric and spectral aspects of light, using a variety of quantities, geometric concepts, units, instruments, laws and indices. This short course presents the fundamental concepts of radiometry, photometry, and colorimetry that apply to the field of lighting, along with measurement practices, from the primary realization of the candela at National Metrology Institutes to field measurements. Recent developments and current research on measurements involving imaging instruments will also be explored.

Raphaël Labayrade, LTDS, ENTPE, Lyon (France)

Abstract:
Light transport simulation: materials, lights, algorithms and software.
This tutorial will explore the physical simulation of light, from input data to software, including computational algorithms. Once the 3D scene is defined -often as a set of triangles- it is necessary to consider the light sources and materials; for artificial sources, the distribution of flux in space is accompanied by a spectral characterization, which can sometimes be reduced to a color temperature; area sources, such as skies, are often described using an RGB texture. Materials, for their part, are described according to the BSDF formalism, which reflects their optical properties. The energy balance of the scene, which takes into account both direct and indirect lighting, is estimated using algorithms suited to different types of materials: ray tracing (specular materials), radiosity (diffuse materials), and path tracing (arbitrary materials). Some examples of software implementing these techniques will be presented, and their main applications will be discussed.

Michaël Murdoch, RIT, Rochester (USA)
Spectral systems and colors.

(More detail to follow).

Raymondo Schettini, University of Milano Bicocca (Italy)

Illuminant Estimation and Correction in Color Imaging Workflows

Abstract:
Lighting conditions greatly influence how colors are captured and reproduced in digital images. This tutorial introduces the problem of illuminant estimation and its role in achieving different goals of color reproduction: colorimetric accuracy, perceptual appearance, and preferred visual quality.

We will explore key methods for estimating and correcting the scene illuminant, from simple statistical approaches to advanced learning-based techniques. Special focus will be given to chromatic adaptation transforms, which emulate human color constancy and support visually consistent image reproduction under varying lighting.

Through examples and method comparisons, participants will gain insight into how lighting, perception, and reproduction interact in imaging workflows, and how illuminant correction enhances both fidelity and visual appeal.