Advances in Low-Level Color Image Processing (Lecture Notes in Computational Vision and Biomechanics)

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Автор: M. Emre Celebi • Bogdan Smolka (editors)

Название: Advances in Low-Level Color Image Processing (Lecture Notes in Computational Vision and Biomechanics)

Издательство: Springer

Год: 2014

Формат: pdf

Размер: 22.2Mb

Язык: Английский

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