Celebi M.E., Smolka B. (eds.) Advances in Low-Level Color Image Processing

Springer, 2014. — 428 p.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, which is witnessed by the large number of publications during the past two decades. 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. The intended audience includes researchers and practitioners, who are increasingly using color and, in general, multichannel images.Automated Color Misalignment Correction for Close-Range and Long-Range Hyper-Resolution Multi-Line CCD Images
Adaptive Demosaicing Algorithm Using Characteristics of the Color Filter Array Pattern
A Taxonomy of Color Constancy and Invariance Algorithm
On the von Kries Model: Estimation, Dependence on Light and Device, and Applications
Impulse and Mixed Multichannel Denoising Using Statistical Halfspace Depth Functions
Spatially Adaptive Color Image Processing
Vector Ordering and Multispectral Morphological Image Processing
Morphological Template Matching in Color Images
Tensor Voting for Robust Color Edge Detection
Color Categorization Models for Color Image Segmentation
Skin Detection and Segmentation in Color Images
Contribution of Skin Color Cue in Face Detection Applications
Color Saliency Evaluation for Video Game Design