Color perception plays an important role in object recognition
and scene understanding both for humans and intelligent vision
systems. Recent advances in digital color imaging and computer
hardware technology have led to an explosion in the use of color
images in a variety of applications including medical imaging,
content-based image retrieval, biometrics, watermarking, digital
inpainting, remote sensing, visual quality inspection, among many
others. As a result, automated processing and analysis of color
images has become an active area of research, to which the large
number of publications of the past two decades bears witness. The
multivariate nature of color image data presents new challenges for
researchers and practitioners as the numerous methods developed for
single channel images are often not directly applicable to
multichannel ones. The goal of this volume is to summarize the
state-of-the-art in the early stages of the color image processing
pipeline."
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