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Color Image Processing: Methods and Applications embraces two
decades of extraordinary growth in the technologies and
applications for color image processing. The book offers
comprehensive coverage of state-of-the-art systems, processing
techniques, and emerging applications of digital color imaging. To
elucidate the significant progress in specialized areas, the
editors invited renowned authorities to address specific research
challenges and recent trends in their area of expertise. The book
begins by focusing on color fundamentals, including color
management, gamut mapping, and color constancy. The remaining
chapters detail the latest techniques and approaches to
contemporary and traditional color image processing and analysis
for a broad spectrum of sophisticated applications, including:
Vector and semantic processing Secure imaging Object recognition
and feature detection Facial and retinal image analysis Digital
camera image processing Spectral and superresolution imaging Image
and video colorization Virtual restoration of artwork Video shot
segmentation and surveillance Color Image Processing: Methods and
Applications is a versatile resource that can be used as a graduate
textbook or as stand-alone reference for the design and the
implementation of various image and video processing tasks for
cutting-edge applications. This book is part of the Digital Imaging
and Computer Vision series.
This book presents the state-of-the-art in face detection and
analysis. It outlines new research directions, including in
particular psychology-based facial dynamics recognition, aimed at
various applications such as behavior analysis, deception
detection, and diagnosis of various psychological disorders. Topics
of interest include face and facial landmark detection, face
recognition, facial expression and emotion analysis, facial
dynamics analysis, face classification, identification, and
clustering, and gaze direction and head pose estimation, as well as
applications of face analysis.
This text covers state-of-the-art color image and video enhancement
techniques. The book examines the multivariate nature of color
image/video data as it pertains to contrast enhancement, color
correction (equalization, harmonization, normalization, balancing,
constancy, etc.), noise removal and smoothing. This book also
discusses color and contrast enhancement in vision sensors and
applications of image and video enhancement.
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.
This book presents the state-of-the-art in face detection and
analysis. It outlines new research directions, including in
particular psychology-based facial dynamics recognition, aimed at
various applications such as behavior analysis, deception
detection, and diagnosis of various psychological disorders. Topics
of interest include face and facial landmark detection, face
recognition, facial expression and emotion analysis, facial
dynamics analysis, face classification, identification, and
clustering, and gaze direction and head pose estimation, as well as
applications of face analysis.
This text covers state-of-the-art color image and video enhancement
techniques. The book examines the multivariate nature of color
image/video data as it pertains to contrast enhancement, color
correction (equalization, harmonization, normalization, balancing,
constancy, etc.), noise removal and smoothing. This book also
discusses color and contrast enhancement in vision sensors and
applications of image and video enhancement.
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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