Color is one of the most important and fascinating attributes of the natural environment. Research about color is becoming more and more prevalent in image processing and computer vision, even if many models are still designed for grayscale pictures and their extension to color images is not a trivial task. In fact, the intrinsic multidisciplinary character of color makes it difficult to model, both from a perceptual and a computational or mathematical level.

The intent of this Special Issue is to provide a framework where scientists in several different disciplines related to color can find a place to illustrate their ideas and results.

This Special Issue is primarily focused on the following topics, however we encourage all submissions related to color in imaging:

• Computational color vision models
• Perceptually-inspired color image and video processing
• Variational and patch-based techniques applied to color images
• Color data compression and encoding
• Color image/video indexing and retrieval
• Color enhancement
• Color constancy and saliency
• Color texture
• Color image and video watermarking
• Color image/video quality assessment
• Multispectral imaging
• Geometry of color spaces
• Interactions between color science and other disciplines such as art, medicine, psychology, and so on
• Color imaging and technology for material appearance
• Color and contrast measures
• Statistics of natural images in color
• High dynamic range imaging in color