Color Image and Video Enhancement
Emre Celebi, Michela Lecca, Bogdan Smolka
Springer, Sep 16, 2015 - Technology & Engineering - 393 pages
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.
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Efficiency Analysis and Prediction
Chapter 4 Impulsive Noise Filters for Colour Images
Chapter 5 Spatial and FrequencyBased Variational Methods for Perceptually Inspired Color and Contrast Enhancement of Digital Images
Chapter 6 The Color Logarithmic Image Processing CoLIP Antagonist Space
Chapter 7 Color Management and Virtual Restoration of Artworks
Chapter 8 A GPUAccelerated Adaptive Simultaneous Dynamic Range Compression and Local Contrast Enhancement Algorithm for RealTime Color ...
Chapter 9 Color Equalization and Retinex
Chapter 10 Color Correction for Stereo and Multiview Coding
Chapter 11 Enhancement of Image Content for Observers with Colour Vision Deficiencies
Chapter 12 Overview of Grayscale Image Colorization Techniques
Chapter 13 Computationally Efficient Data and Application Driven Color Transforms for the Compression and Enhancement of Images and Video
Other editions - View all
adaptive added noise aKLT algorithm analysis applications approach AWGN bilinear interpolation camera CFA image channel chromatic chrominance CIELab coefficients CoLIP color components color constancy color correction color management color space color transform comparison in terms Comput contaminated with different contrast enhancement daltonization defined demosaicing denoising denote densities of noise dichromatic digital images DIS2 MAE PSNR dynamic range compression efficiency estimation Filter No added function fuzzy gamut histogram equalization IEEE IEEE Trans image contaminated image denoising image processing implementation impulsive noise intensity IPGSVF linear luminance MAE PSNR DIS1 matrix method metric noise model obtained operations optimal original image output parameter perception Performance comparison pixel proposed PSNR and DISk PSNR DIS2 MAE QRVF Retinex RGB color space RWVMF scribble SDRCLCE Signal Process spectral techniques terms of MAE test images trichromatic variational virtual restoration wavelet XYZ values