Название: Color Image Processing
Автор: Edoardo Provenzi (Ed.)
Размер: 83,5 mb.
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 constancy and saliency
Color image and video watermarking
Color image/video quality assessment
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
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