InternPerceptual Color Processing And Gamut Mapping With Deep Learning Techniques. H/F

InterDigital; Cesson-Sévigné; On-site; EUR 17,000 - 20,000; Full time

Job summary

InterDigital in Brittany, France, invites a Master's student to join the Video Production Services team for a 6-month internship focused on perceptually aware color processing for HDR and display technologies.

You will design prototypes, apply CNN-based methods with PyTorch or TensorFlow, and evaluate results, with an emphasis on human-vision metrics in color gamut mapping. Fluent English required; knowledge of image processing is a plus.

Qualifications

• Pursuing a Master 2 level with a 6-month internship in CS/EE/math.
• Strong Python and C/C++ programming skills.
• Experience with PyTorch or TensorFlow and CNN training/evaluation.
• Knowledge of image processing or display technologies (OLED/local-dimming) is a plus.
• Fluent English; autonomous, curious and rigorous research mindset.

Responsibilities

• Review current research on perceptually aware color gamut mapping.
• Identify directions for integrating human-vision metrics into color-processing pipelines.
• Design and implement optimization methods, including neural-network approaches
• Evaluate results and iteratively refine the proposed methods.

Skills

Python

C/C++

Image processing

English

Education

Master's degree (Master 2 level)

Tools

PyTorch

TensorFlow

Job description

About the Internship

The Video Production Services team develops technologies that enhance video production and delivery for modern displays, with a particular focus on high dynamic range (HDR) and wide color gamut. This internship will investigate perceptually aware color-processing techniques that reflect key characteristics of human vision, including the effects of luminance on color perception and chromatic contrast.

As part of the team, the intern will assess the state of the art in perceptually aware color gamut mapping, identify promising approaches, design and implement prototypes, and evaluate the resulting methods. Deep learning and neural networks techniques will be preferred where they offer a meaningful advantage.

Key Responsibilities

• Review and synthesize current research on perceptually aware color gamut mapping.
• Identify promising directions for integrating human-vision metrics into color-processing pipelines.
• Design and implement optimization methods, including neural-network-based approaches
• Evaluate experimental results and iteratively refine the proposed methods.

Qualifications

• Currently pursuing a master's degree in computer science, electrical engineering, applied mathematics, or a related field. Master 2 level, 6 months internship.
• Skills in Python and C/C++.
• Experience with a deep-learning framework such as PyTorch or TensorFlow, including the training and evaluation of convolutional neural networks.
• Knowledge of image processing, display technologies such as OLED or local-dimming LCD, or perceptual image quality is a plus.
• Fluent English An autonomous, curious, and rigorous approach to research and experimentation.