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Books > Computing & IT > Applications of computing > Image processing
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Motion Deblurring - Algorithms and Systems (Hardcover)
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Motion Deblurring - Algorithms and Systems (Hardcover)
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A comprehensive guide to restoring images degraded by motion blur,
bridging the traditional approaches and emerging computational
photography-based techniques, and bringing together a wide range of
methods emerging from basic theory as well as cutting-edge
research. It encompasses both algorithms and architectures,
providing detailed coverage of practical techniques by leading
researchers. From an algorithms perspective, blind and non-blind
approaches are discussed, including the use of single or multiple
images; projective motion blur model; image priors and parametric
models; high dynamic range imaging in the irradiance domain; and
image recognition in blur. Performance limits for motion deblurring
cameras are also presented. From a systems perspective, hybrid
frameworks combining low-resolution-high-speed and
high-resolution-low-speed cameras are described, along with the use
of inertial sensors and coded exposure cameras. Also covered is an
architecture exploiting compressive sensing for video recovery. A
valuable resource for researchers and practitioners in computer
vision, image processing, and related fields.
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