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Image Processing for Cinema

Marcelo Bertalmío
Publisher: 
Chapman & Hall/CRC
Publication Date: 
2014
Number of Pages: 
305
Format: 
Hardcover
Price: 
79.95
ISBN: 
9781439899274
Category: 
Monograph
We do not plan to review this book.

LIGHTS
Light and Color
Light as color stimulus
Matching colors
The first standard color spaces
Perceptual color spaces
Color appearance

Optics
Introduction
Ray diagrams
Reflection and refraction
Lenses
Optical aberrations
Basic terms in photography

CAMERA
Camera

Image processing pipeline
Image sensors
Exposure control
Focus control
White balance
Color transformation
Gamma correction and quantization
Edge enhancement
Output formats
Additional image processing
The order of the stages of the image processing pipeline

ACTION
Compression

Introduction
How is compression possible?
Image compression with JPEG
Image compression with JPEG2000
Video compression with MPEG-1, MPEG-2, MPEG-4 AVC (H.264)
In-camera compression

Denoising
Introduction
Classic denoising ideas
Non-local approaches
An example of a non-local movie denoising algorithm
New trends and optimal denoising
Denoising an image by denoising its curvature image

Demosaicking and Deinterlacing
Introduction
Demosaicking
Deinterlacing

White Balance
Introduction
Human color constancy
Computational color constancy under uniform illumination
Retinex and related methods
Cinema and colors at night

Image Stabilization
Introduction
Rolling shutter compensation
Compensation of camera motion

Zoom-In and Slow Motion
Introduction
Zoom-in
Slow-motion generation

Transforming the Color Gamut
Introduction
Color gamuts
Gamut reduction
Gamut extension
Validating a gamut mapping algorithm
An example of a spatial gamut reduction algorithm
Final remarks

High Dynamic Range Video and Tone Mapping
Introduction
High dynamic range imaging
Tone mapping
Optimization of TM operators
Final remarks

Stereoscopic 3D Cinema
Introduction
Depth perception
Making S3D cinema
Parallax and convergence
Camera baseline and focal length
Estimating the depth map
Changing the baseline/synthesizing a new view
Changing the focus and the depth of field
Factors of visual discomfort

Color Matching for Stereoscopic Cinema
Introduction
Related work
The algorithm
Morphing the target image
Aligning the histograms
Propagating the colors to unmatched pixels
Examples and comparisons

Inpainting
Introduction
Video inpainting for specific problems
Video inpainting in a general setting
Video inpainting for stereoscopic 3D cinema
Final remarks

Bibliography

Index