Focuses on enhancement of color images/video
Addresses algorithms for enhancing color images and video
Presents coverage on super resolution, restoration, in painting, and colorization
M. Emre Celebi is an Associate Professor with the Department of Computer Science at the Louisiana State University in Shreveport.
Michela Lecca (M.Sc.) is a researcher with Fondazione Bruno Kessler, Center for Information Technology, Technologies of Vision, Trento, Italy.
Bogdan Smolka (Ph.D.) is a professor with the Department of Automatic Control, Electronics and Computer Science, at the Silesian University of Technology, Gliwice, Poland.
Colorimetric Characterization.- Image Demosaicing.- DCT-Based Color Image Denoising: Efficiency Analysis and Prediction.- Impulsive noise filters for colour images.- Spatial and frequency based variational methods for perceptually inspired color and contrast enhancement of digital images.- The Color Logarithmic Image Processing (CoLIP) antagonist space.- Color management and virtual restoration of artworks.- A GPU-Accelerated Adaptive Simultaneous Dynamic Range Compression and Local Contrast Enhancement Algorithm for Real-Time Color Image Enhancement.- Color Equalization and Retinex.- Color correction for stereo and multi-view coding.- Enhancement of image content for observers with colour vision deficiencies.- Overview of grayscale image colorization techniques.- Computationally efficient data and application driven color transforms for the compression and enhancement of images and video.
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.
· Focuses on enhancement of color images/video
· Addresses algorithms for enhancing color images and video
· Presents coverage on super resolution, restoration, in painting, and colorization
M. Emre Celebi is an Associate Professor with the Department of Computer Science at the Louisiana State University in Shreveport.
Michela Lecca (M.Sc.) is a researcher with Fondazione Bruno Kessler, Center for Information Technology, Technologies of Vision, Trento, Italy.
Bogdan Smolka (Ph.D.) is a professor with the Department of Automatic Control, Electronics and Computer Science, at the Silesian University of Technology, Gliwice, Poland.
Über den Autor
M. Emre Celebi is an Associate Professor with the Department of Computer Science at the Louisiana State University in Shreveport.
n
Michela Lecca (M.Sc.) is a researcher with Fondazione Bruno Kessler, Center for Information Technology, Technologies of Vision, Trento, Italy.
n
Bogdan Smolka (Ph.D.) is a professor with the Department of Automatic Control, Electronics and Computer Science, at the Silesian University of Technology, Gliwice, Poland.
n
Inhaltsverzeichnis
Colorimetric Characterization.- Image Demosaicing.- DCT-Based Color Image Denoising: Efficiency Analysis and Prediction.- Impulsive noise filters for colour images.- Spatial and frequency based variational methods for perceptually inspired color and contrast enhancement of digital images.- The Color Logarithmic Image Processing (CoLIP) antagonist space.- Color management and virtual restoration of artworks.- A GPU-Accelerated Adaptive Simultaneous Dynamic Range Compression and Local Contrast Enhancement Algorithm for Real-Time Color Image Enhancement.- Color Equalization and Retinex.- Color correction for stereo and multi-view coding.- Enhancement of image content for observers with colour vision deficiencies.- Overview of grayscale image colorization techniques.- Computationally efficient data and application driven color transforms for the compression and enhancement of images and video.
Klappentext
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.
Focuses on enhancement of color images/video
rn
Addresses algorithms for enhancing color images and video
rn
Presents coverage on super resolution, restoration, in painting, and colorization
rn
Includes supplementary material: sn.pub/extras
rn
