At Lucid, we offer three groundbreaking technologies that can be licensed or custom-adapted to meet your specific needs.
The first is a Method and System for Color Gamut Mapping, which leverages our patented human vision model to ensure accurate and natural color representation across different devices and media.
The second is a Method, System, and Device for Generating More Natural Images.
This technologes bridges the gap between raw camera sensor data and digital images, preserving the natural light and colors of real scenes while displaying them on screens with exceptional fidelity.
Our third innovation is a Computer-Implemented Method for Processing Structured Data, which holds the potential to revolutionize AI systems based on Artificial Neural Networks (ANNs). This technology reduces the data required for training, making ANN systems more accessible and environmentally sustainable, while also enhancing their robustness, generalization capabilities, and interpretability—factors that are critical for advancing AI’s role in society.
What is Toneo?
Toneo is innovative software that automatically transforms RAW sensor data into natural-looking images optimized for professional cinema. Unlike traditional color grading tools, which require manual adjustments by skilled technicians, Toneo leverages cutting-edge vision science from the 21st century to deliver results that meet the highest image quality standards.
The Challenge of Traditional Color Grading
In cinema postproduction, the initial step, the technical grade, aims to ensure that the on-screen image closely resembles what an observer would perceive in a real-world scene. This process has traditionally been manual, relying on the expertise of colorists who adjust colors, brightness, and contrast to achieve a natural look. Automated methods have struggled to meet the high standards of the cinema industry because they lack the adaptability of human vision.
How Toneo Overcomes These Challenges
Toneo is designed to address the limitations of traditional automated methods. It is fully image-adaptive, which adjusts the image based on the complete statistics of what the camera captures, emulating the human visual system's ability to adapt to varying conditions. Developed through years of research in vision science and optimized by cinema professionals, Toneo produces images ready for display with the same detail, contrast, and color accuracy that a skilled colorist would achieve manually.
Why Toneo Stands Out
Advanced Vision Science: Toneo's technology is rooted in state-of-the-art vision models that are adaptive and image-dependent, unlike older models that are static and non-adaptive.
Optimized by Professionals: Industry professionals have fine-tuned the parameters within Toneo, ensuring that the output matches the cinema's high expectations.
Natural-Looking Results: Whether it's shadows, midtones, highlights, or skin tones, Toneo delivers a visual quality that closely mimics what the human eye would perceive in the actual scene.
Wide Application: While designed for cinema, Toneo's robust technology can also be applied to various fields, including virtual reality, HDR TV broadcast, and architectural visualization.
A Glimpse into the Future
Toneo isn't just a tool for today; it's a glimpse into the future of image processing. Its ability to provide real-time, perceptually accurate images without relying on artificial neural networks opens the door to numerous applications beyond cinema, such as on-set monitoring, HDR streaming, and more.
Explore how Toneo can transform your visual content with the precision and quality that only cutting-edge technology can provide.
The Challenge with Current Artificial Neural Networks (ANNs)
Artificial Neural Networks (ANNs) have been at the forefront of the artificial intelligence revolution, reshaping industries and society at large. However, despite their success, ANNs face significant limitations that hinder their full potential. These challenges include difficulties with generalization, vulnerability to adversarial attacks, and the immense amounts of data and energy required for training.
1. Generalization Issues: Traditional ANNs perform well on data similar to their training set but struggle with new, unseen data, leading to significant drops in accuracy.
2. Adversarial Vulnerability: ANNs can be easily misled by minor, often imperceptible changes to input data, resulting in incorrect and potentially dangerous outputs.
3. Data and Energy Demands: Training ANNs to achieve high accuracy requires massive datasets and computational power, leading to high energy consumption and environmental impact.
LUCID AI's Innovative Approach
LUCID AI addresses these critical limitations by introducing a new neuron model inspired by recent advances in vision science. By replacing the outdated neuron model traditionally used in ANNs, ToneoAI offers:
Improved Generalization: Error rates are reduced by up to 45%, allowing the network to perform more reliably across different datasets.
Enhanced Robustness: LUCID AI is up to three times more resistant to adversarial attacks, providing greater security and reliability in sensitive applications.
Efficiency in Training: With LUCID AI, the same level of accuracy can be achieved with just 20% of the data required by traditional ANNs, significantly reducing training time, costs, and energy consumption.
The Impact of LUCID AI
The potential impact of LUCID AI is substantial, with the ability to transform how artificial intelligence is implemented across various sectors:
Sustainability: Reduced data and energy requirements make ToneoAI a greener, more sustainable option for AI development.
Security: Greater resistance to adversarial attacks enhances the safety and reliability of AI systems in critical fields like healthcare, finance, and cybersecurity.
Accessibility: Lower data requirements level the playing field, allowing smaller companies and research labs to innovate without needing vast resources.
LUCID AI enhances the performance of ANNs and makes AI more accessible, secure, and sustainable, paving the way for the next generation of intelligent systems.