Multi Illuminant

Multi-illuminant scene analysis focuses on overcoming the limitations of traditional image processing techniques that assume uniform lighting. Current research emphasizes developing robust methods for estimating and compensating for multiple light sources, employing techniques like pixel-wise illumination mapping with smoothness constraints, and leveraging deep convolutional neural networks (CNNs) for illuminant estimation and color constancy. These advancements are crucial for improving the accuracy of computer vision tasks such as 3D reconstruction, object detection, and color correction in real-world scenarios where diverse and complex lighting conditions are prevalent.