ENGLISH

Advances in Low-Level Color Image Processing

By Andreas Koschan , M. Emre Celebi , Zhiyu Chen , Chung-Hao Chen (auth.) , Bogdan Smolka (eds.)

Book information

Publisher
Springer Netherlands
Year
2014
ISBN
978-94-007-7583-1, 978-94-007-7584-8
DOI
10.1007/978-94-007-7584-8
Language
english
Format
PDF
Filesize
22 MB (23313445 bytes)
Series
Lecture Notes in Computational Vision and Biomechanics 11
Edition
1
Pages
425\428
Time added
2014-01-18 08:00:00
Image and Speech Processing; Imaging / RadiologyImage Processing and Computer Vision; Signal

Description

Эта серьёзная книга рассказывает о фундаментальных аспектах работы с цветом в компьютерных системах. 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. Contents 1. Automated Color Misalignment Correction for Close-Range and Long-Range Hyper-Resolution Multi-Line CCD Images 2. Adaptive Demosaicing Algorithm Using Characteristics of the Color Filter Array Pattern 3. A Taxonomy of Color Constancy and Invariance Algorithm 4. On the von Kries Model: Estimation, Dependence on Light and Device, and Applications 5. Impulse and Mixed Multichannel Denoising Using Statistical Halfspace Depth Functions 6. Spatially Adaptive Color Image Processing 7. Vector Ordering and Multispectral Morphological Image Processing 8. Morphological Template Matching in Color Images 9. Tensor Voting for Robust Color Edge Detection 10. Color Categorization Models for Color Image Segmentation 11. Skin Detection and Segmentation in Color Images 12. Contribution of Skin Color Cue in Face Detection Applications 13. Color Saliency Evaluation for Video Game Design

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