Digital imaging has seen an unprecedented growth in the past five years. The variety of imaging systems available to users to create and view visual data is enormous. Color management has become an important aspect of modern imaging and display systems. Color profiles have been the de facto tool for achieving faithful visual reproduction for a long time. In this article, the authors discuss issues associated with profile-based color management systems. The authors describe an alternative approach motivated by the problem of visually matching two known display devices. The authors use a model-based method to achieve this goal and propose realizing the method with simple table look-up operations. The authors devise a framework for designing look-up tables (LUTs) which are optimal in terms of color reproduction on the displays based on resource constraints. The LUT-based color management system is shown to be more accurate and memory-efficient than a comparable International Color Consortium profile-based system.

No abstract

We present a framework for developing a color transformation between two display devices to achieve a desired perceptual match. The framework is realized by first developing an optimal color transformation between the two devices, and then formulating an optimization problem to develop a hardware resource-constrained approximation to the optimal transformation. We employ the framework to investigate how well the system performs when the transformation is constrained to be a single 3×3 linear transformation directly between the non-linear RGB spaces of two devices. The motivation for this constraint is to ease resource requirements in a real-time hardware implementation.

No abstract

No abstract