Ai Learned Perceptual Uniform Color Rendering

**Date**:Oct 15, 2024

**Location**: Kortrijk, BE

**Company**:Barco

**Barco**

Barco designs technology that makes everyday life a little better. Seeing beyond the image, we develop sight, sound, and sharing solutions to help customers work together, share insights, and wow audiences. Healthcare is one of the key markets of Barco. For many years Barco has been contributing to improved healthcare by means of solutions in radiology, mammography, surgery, dermatology, dentistry, pathology etc.

**Innovation in healthcare**

The Barco Labs Healthcare team is constantly looking for new innovative solutions that push forward the state-of-the-art and can improve healthcare models. This group takes care of the entire innovation cycle: ideation and MVP definition, market evaluation and business case creation, R&D and clinical work for creation of proof of concepts and solutions, market and clinical / regulatory validation of the solutions, business model and business plan creation, up to commercial introduction and early pilot sales.

**The task at hand**

Historically, display color rendering profiles are calculated analytically. With the rise of AI, more advanced techniques have become available to tackle this complex problem. In this internship you will redefine this problem as a machine learnable problem. The intern will develop a machine learning model to learn a bidirectional transformation between color spaces, ensuring that the transformed color space has perceptual uniformity. This involves designing and implementing a model that maps color coordinates while maintaining constant perceptual distances, such as DE2000, between neighboring colors.

**Qualifications**
- Generic software skills:

- Proficiency in Python, with a focus on TensorFlow for deep learning.
- Experience with data preprocessing, model training, and evaluation.
- Basic understanding of Git for version control.
- Containerized development
- And interest in at least one of these areas:

- Color science, including working with color spaces such as La*b* and perceptual metrics like DE2000
- Deep learning applied to image and color transformations.
- Fluent spoken and written communication in English

Furthermore, you should be a student in a technical discipline, eligible to work at our HQ in Kortrijk Belgium.