Image Processing in Python

Table of Contents
Preface
	Who is this book for?
	About the author
	Keep in touch
Introduction
	Versions
	Example sources on github
I Bitmap images
	Introduction to bitmap imaging
		What is a bitmap image?
		Spatial sampling
		Colour representation
		File formats
		Vector images
	Computer colour
		Visible light
			Frequency and wavelength
		What is colour?
			Non-spectral colours
		How we see colour
		The RGB colour model
			Displaying colour
			Representing RGB colours as a percentage
			Floating point representation
			Byte value representation
		Colour resolution
		Greyscale colour model
		The CMYK colour model
			The K component
		HSL/HSB colour models
		HSL variants
		Perceptual colour models
			CIE spaces
		Colour management
			Gamuts
	Bitmap image data
		Data layout
		8-bit per channel images
			24-bit RGB
			32-bit CMYK
			8-bit greyscale
			32-bit RGBA
		Bitmap data with fewer levels
			8-bit RGB
			16-bit RGB
			Dithering
		Bilevel images
		Bitmap data with more levels
		Palette based images
			Images with more than 256 colours
		Handling transparency
			Alpha channel
			Transparent palette entry
			Transparent colour
		Interlacing and alternate pixel ordering
	Image file formats
		Why are there so many formats?
		Image data and metadata
		Image compression
			Lossless compression
			Lossy compression
		Some common file formats
			PNG format
			JPEG format
			GIF format
			BMP format
		Animation
II Pillow library
	Introduction to Pillow
		Pillow and PIL
		Installing Pillow
		Main features of Pillow
	Basic imaging
		The Image class
		Creating and displaying an image
		Saving an image
		Handling colours
			Converting strings to colours
		Creating images
		Opening an image
		Image processing
		Rotating an image
		Creating a thumbnail
		Image modes
	Image class
		Example code
		Creating images
			Image.new
			Image.open
			copy
			Other methods
		Saving images
		Image generators
		Working with image bands
			getbands
			split
			merge
			getchannel
			putalpha
	ImageOps module
		Image resizing functions
			expand
			crop
			scale
			pad
			fit
		Image transformation functions
			flip
			mirror
			exif-transpose
		Colour effects
			grayscale
			colorize
			invert
			posterize
			solarize
		Image adjustment
			autocontrast
			equalize
		Deforming images
			How deform works
			getmesh
			A wave transform
			Other deformations
	Image attributes and statistics
		Attributes
			File size
			File name
			File format
			Mode and bands
			Palette
			Info
			Animation
			EXIF tags
		Image statistics
			Image histogram
			Masking
			Other Image statistics
			ImageStat module
	Enhancing and filtering images
		ImageEnhance
			Brightness
			Contrast
			Color
			Sharpness
		ImageFilter
		Predefined filters
		Parameterised filters
			Blurring functions
			Unsharp masking
			Ranking and averaging filters
		Defining your own filters
	Image compositing
		Simple blending
			Image transparency
			ImageChops blend function
			ImageChops composite function
		Blend modes
			Addition
			Subtraction
			Lighter and darker
			Multiply and screen
			Other blend modes
		Logical combinations
	Drawing on images
		Coordinate system
		Drawing shapes
			Drawing rectangles
			Drawing other shapes
			Points
		Handling text
			Drawing simple text
			Font and text metrics
			Anchoring
			Drawing multiline text
		Paths
			Drawing a path
			Transforming paths
			Mapping points
	Accessing pixel data
		Processing an image
		Creating an image
		Performance
	Integrating Pillow with other libraries
		NumPy integration
			Converting a Pillow image to Numpy
			Image data in a NumPy array
			Modifying the NumPy image
			Converting a NumPy array to a Pillow image
III Reference
	Pillow colour representation
		Hexadecimal colour specifiers
		RGB functions
		HSL functions
		HSV functions
		Named colours
		Example
		Image modes
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